Beyond Expectations: Learning with Stochastic Dominance Made Practical.

Dale Schuurmans https://webdocs.cs.ualberta.ca/~dale/ https://scholar.google.com/citations?user=xaQuPloAAAAJ University of Alberta

Shicong Cen Jincheng Mei Hanjun Dai Dale Schuurmans Yuejie Chi Bo Dai 0001 Beyond Expectations: Learning with Stochastic Dominance Made Practical. 2026 2026 Trans. Mach. Learn. Res. https://openreview.net/forum?id=ebyPKXsweD db/journals/tmlr/tmlr2026.html#CenMDSCD26 streams/journals/tmlr

Arsalan Sharifnassab Saber Salehkaleybar Dale Schuurmans Soft Preference Optimization: Aligning Language Models to Expert Distributions. 2026 2026 Trans. Mach. Learn. Res. https://openreview.net/forum?id=EUPIcAkrSR db/journals/tmlr/tmlr2026.html#SharifnassabSS26 streams/journals/tmlr

Alex Lewandowski Marlos C. Machado Dale Schuurmans Universal computation is intrinsic to language model decoding. 2026 January abs/2601.08061 CoRR https://doi.org/10.48550/arXiv.2601.08061 db/journals/corr/corr2601.html#abs-2601-08061 streams/journals/corr

Bo Dai 0001 Na Li 0002 Dale Schuurmans Spectral Ghost in Representation Learning: from Component Analysis to Self-Supervised Learning. 2026 January abs/2601.20154 CoRR https://doi.org/10.48550/arXiv.2601.20154 db/journals/corr/corr2601.html#abs-2601-20154 streams/journals/corr

Tong Yang 0007 Jincheng Mei Hanjun Dai Zixin Wen Shicong Cen Dale Schuurmans Yuejie Chi Bo Dai 0001 Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment. 4537-4545 2025 AISTATS https://proceedings.mlr.press/v258/yang25e.html conf/aistats/2025 db/conf/aistats/aistats2025.html#YangMDWCSCD25 streams/conf/aistats Shicong Cen Jincheng Mei Katayoon Goshvadi Hanjun Dai Tong Yang 0007 Sherry Yang 0001 Dale Schuurmans Yuejie Chi Bo Dai 0001 Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. 2025 ICLR https://openreview.net/forum?id=SQnitDuow6 conf/iclr/2025 db/conf/iclr/iclr2025.html#CenMGDY0SC025 Bryan Chan Xinyi Chen András György 0001 Dale Schuurmans Toward Understanding In-context vs. In-weight Learning. 2025 ICLR https://openreview.net/forum?id=aKJr5NnN8U conf/iclr/2025 db/conf/iclr/iclr2025.html#ChanC0S25 Alex Lewandowski Michal Bortkiewicz Saurabh Kumar 0004 András György 0001 Dale Schuurmans Mateusz Ostaszewski Marlos C. Machado Learning Continually by Spectral Regularization. 2025 ICLR https://openreview.net/forum?id=Hcb2cgPbMg conf/iclr/2025 db/conf/iclr/iclr2025.html#LewandowskiB00S25 Alex Lewandowski Dale Schuurmans Marlos C. Machado Plastic Learning with Deep Fourier Features. 2025 ICLR https://openreview.net/forum?id=NIkfix2eDQ conf/iclr/2025 db/conf/iclr/iclr2025.html#LewandowskiSM25 Xinran Zhao Hanie Sedghi Bernd Bohnet Dale Schuurmans Azade Nova Improving Large Language Model Planning with Action Sequence Similarity. 2025 ICLR https://openreview.net/forum?id=tpGkEgxMJT conf/iclr/2025 db/conf/iclr/iclr2025.html#ZhaoSBSN25 Tianzhe Chu Yuexiang Zhai Jihan Yang Shengbang Tong Saining Xie Dale Schuurmans Quoc V. Le Sergey Levine Yi Ma 0001 SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. 2025 ICML https://proceedings.mlr.press/v267/chu25c.html https://openreview.net/forum?id=dYur3yabMj conf/icml/2025 db/conf/icml/icml2025.html#ChuZYTXSLL025

Kuang-Huei Lee Ian Fischer Yueh-Hua Wu Dave Marwood Shumeet Baluja Dale Schuurmans Xinyun Chen Evolving Deeper LLM Thinking. 2025 January abs/2501.09891 CoRR https://doi.org/10.48550/arXiv.2501.09891 db/journals/corr/corr2501.html#abs-2501-09891 streams/journals/corr

Tianzhe Chu Yuexiang Zhai Jihan Yang Shengbang Tong Saining Xie Dale Schuurmans Quoc V. Le Sergey Levine Yi Ma 0001 SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. 2025 January abs/2501.17161 CoRR https://doi.org/10.48550/arXiv.2501.17161 db/journals/corr/corr2501.html#abs-2501-17161 streams/journals/corr

Jincheng Mei Bo Dai 0001 Alekh Agarwal Sharan Vaswani Anant Raj Csaba Szepesvári Dale Schuurmans Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates. 2025 February abs/2502.07141 CoRR https://doi.org/10.48550/arXiv.2502.07141 db/journals/corr/corr2502.html#abs-2502-07141 streams/journals/corr

Jincheng Mei Bo Dai 0001 Alekh Agarwal Mohammad Ghavamzadeh Csaba Szepesvári Dale Schuurmans Ordering-based Conditions for Global Convergence of Policy Gradient Methods. 2025 April abs/2504.02130 CoRR https://doi.org/10.48550/arXiv.2504.02130 db/journals/corr/corr2504.html#abs-2504-02130 streams/journals/corr

Zhaohan Daniel Guo Bernardo Ávila Pires Khimya Khetarpal Dale Schuurmans Bo Dai 0001 Representation Learning via Non-Contrastive Mutual Information. 2025 April abs/2504.16667 CoRR https://doi.org/10.48550/arXiv.2504.16667 db/journals/corr/corr2504.html#abs-2504-16667 streams/journals/corr

Xinran Zhao Hanie Sedghi Bernd Bohnet Dale Schuurmans Azade Nova Improving Large Language Model Planning with Action Sequence Similarity. 2025 May abs/2505.01009 CoRR https://doi.org/10.48550/arXiv.2505.01009 db/journals/corr/corr2505.html#abs-2505-01009 streams/journals/corr

Max Qiushi Lin Jincheng Mei Matin Aghaei Michael Lu Bo Dai 0001 Alekh Agarwal Dale Schuurmans Csaba Szepesvári Sharan Vaswani Rethinking the Global Convergence of Softmax Policy Gradient with Linear Function Approximation. 2025 May abs/2505.03155 CoRR https://doi.org/10.48550/arXiv.2505.03155 db/journals/corr/corr2505.html#abs-2505-03155 streams/journals/corr

Zhuohang Li Xiaowei Li 0003 Chengyu Huang Guowang Li Katayoon Goshvadi Bo Dai 0001 Dale Schuurmans Paul Zhou Hamid Palangi Yiwen Song Palash Goyal Murat Kantarcioglu Bradley A. Malin Yuan Xue 0001 Judging with Confidence: Calibrating Autoraters to Preference Distributions. 2025 October abs/2510.00263 CoRR https://doi.org/10.48550/arXiv.2510.00263 db/journals/corr/corr2510.html#abs-2510-00263 streams/journals/corr

Alex Ayoub David Szepesvari Alireza Baktiari Csaba Szepesvári Dale Schuurmans Rectifying Regression in Reinforcement Learning. 2025 October abs/2510.00885 CoRR https://doi.org/10.48550/arXiv.2510.00885 db/journals/corr/corr2510.html#abs-2510-00885 streams/journals/corr

Alex Ayoub Kavosh Asadi Dale Schuurmans Csaba Szepesvári Karim Bouyarmane Learning to Reason Efficiently with Discounted Reinforcement Learning. 2025 October abs/2510.23486 CoRR https://doi.org/10.48550/arXiv.2510.23486 db/journals/corr/corr2510.html#abs-2510-23486 streams/journals/corr

Chenxiao Gao Haotian Sun Na Li 0002 Dale Schuurmans Bo Dai 0001 Spectral Representation-based Reinforcement Learning. 2025 December abs/2512.15036 CoRR https://doi.org/10.48550/arXiv.2512.15036 db/journals/corr/corr2512.html#abs-2512-15036 streams/journals/corr

Alex Lewandowski Adtiya A. Ramesh Edan Meyer Dale Schuurmans Marlos C. Machado The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis. 2025 December abs/2512.23419 CoRR https://doi.org/10.48550/arXiv.2512.23419 db/journals/corr/corr2512.html#abs-2512-23419 streams/journals/corr

Alex Ayoub David Szepesvari Francesco Zanini Bryan Chan Dhawal Gupta Bruno Castro da Silva Dale Schuurmans Mitigating the Curse of Horizon in Monte-Carlo Returns. 563-572 2024 RLJ 2 db/journals/rlj/rlj2.html#AyoubSZCGSS24 https://rlj.cs.umass.edu/2024/papers/Paper80.html

Sherry Yang 0001 KwangHwan Cho Amil Merchant Pieter Abbeel Dale Schuurmans Igor Mordatch Ekin Dogus Cubuk Scalable Diffusion for Materials Generation. 2024 ICLR https://openreview.net/forum?id=wm4WlHoXpC conf/iclr/2024 db/conf/iclr/iclr2024.html#YangCMASMC24 Sherry Yang 0001 Yilun Du Bo Dai 0001 Dale Schuurmans Joshua B. Tenenbaum Pieter Abbeel Probabilistic Adaptation of Black-Box Text-to-Video Models. 2024 ICLR https://openreview.net/forum?id=pjtIEgscE3 conf/iclr/2024 db/conf/iclr/iclr2024.html#YangD0STA24 Sherry Yang 0001 Yilun Du Seyed Kamyar Seyed Ghasemipour Jonathan Tompson Leslie Pack Kaelbling Dale Schuurmans Pieter Abbeel Learning Interactive Real-World Simulators. 2024 ICLR https://openreview.net/forum?id=sFyTZEqmUY conf/iclr/2024 db/conf/iclr/iclr2024.html#YangDGTKSA24 Fengdi Che Chenjun Xiao Jincheng Mei Bo Dai 0001 Ramki Gummadi Oscar A. Ramirez Christopher K. Harris A. Rupam Mahmood Dale Schuurmans Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation. 2024 ICML https://proceedings.mlr.press/v235/che24a.html https://openreview.net/forum?id=R6GT1UDcOW conf/icml/2024 db/conf/icml/icml2024.html#CheXM0GRHMS24 6372-6396 Sherry Yang 0001 Jacob C. Walker Jack Parker-Holder Yilun Du Jake Bruce André Barreto 0001 Pieter Abbeel Dale Schuurmans Position: Video as the New Language for Real-World Decision Making. 2024 ICML https://proceedings.mlr.press/v235/yang24z.html https://openreview.net/forum?id=EZH4CsKV6O conf/icml/2024 db/conf/icml/icml2024.html#YangWPDB0AS24 56465-56484 Hongming Zhang 0012 Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 0001 Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning. 2024 ICML https://proceedings.mlr.press/v235/zhang24bd.html https://openreview.net/forum?id=O6tenHWTUU conf/icml/2024 db/conf/icml/icml2024.html#ZhangRXS024 59759-59782 Sherry Yang 0001 Simon L. Batzner Ruiqi Gao Muratahan Aykol Alexander L. Gaunt Brendan McMorrow Danilo Jimenez Rezende Dale Schuurmans Igor Mordatch Ekin Dogus Cubuk Generative Hierarchical Materials Search. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/447d012bd95b6767a4bfdebf96cdfcc9-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#0001BGAGMRSMC24 Hanjun Dai Bethany Wang Xingchen Wan Bo Dai 0001 Sherry Yang 0001 Azade Nova Pengcheng Yin Phitchaya Mangpo Phothilimthana Charles Sutton Dale Schuurmans UQE: A Query Engine for Unstructured Databases. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/34b3a40ec9752c1ae48fe85fef8fe8dc-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#DaiWW00NYPSS24 Jincheng Mei Bo Dai 0001 Alekh Agarwal Sharan Vaswani Anant Raj Csaba Szepesvári Dale Schuurmans Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/8815c983a1f46b477fe4fbf7042a3ba3-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#Mei0AVRSS24

Shicong Cen Jincheng Mei Hanjun Dai Dale Schuurmans Yuejie Chi Bo Dai 0001 Beyond Expectations: Learning with Stochastic Dominance Made Practical. 2024 abs/2402.02698 CoRR https://doi.org/10.48550/arXiv.2402.02698 db/journals/corr/corr2402.html#abs-2402-02698

Sherry Yang 0001 Jacob C. Walker Jack Parker-Holder Yilun Du Jake Bruce André Barreto 0001 Pieter Abbeel Dale Schuurmans Video as the New Language for Real-World Decision Making. 2024 abs/2402.17139 CoRR https://doi.org/10.48550/arXiv.2402.17139 db/journals/corr/corr2402.html#abs-2402-17139

Jincheng Mei Zixin Zhong Bo Dai 0001 Alekh Agarwal Csaba Szepesvári Dale Schuurmans Stochastic Gradient Succeeds for Bandits. 2024 abs/2402.17235 CoRR https://doi.org/10.48550/arXiv.2402.17235 db/journals/corr/corr2402.html#abs-2402-17235

Arsalan Sharifnassab Sina Ghiassian Saber Salehkaleybar Surya Kanoria Dale Schuurmans Soft Preference Optimization: Aligning Language Models to Expert Distributions. 2024 abs/2405.00747 CoRR https://doi.org/10.48550/arXiv.2405.00747 db/journals/corr/corr2405.html#abs-2405-00747

Shicong Cen Jincheng Mei Katayoon Goshvadi Hanjun Dai Tong Yang 0007 Sherry Yang 0001 Dale Schuurmans Yuejie Chi Bo Dai 0001 Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. 2024 abs/2405.19320 CoRR https://doi.org/10.48550/arXiv.2405.19320 db/journals/corr/corr2405.html#abs-2405-19320

Fengdi Che Chenjun Xiao Jincheng Mei Bo Dai 0001 Ramki Gummadi Oscar A. Ramirez Christopher K. Harris A. Rupam Mahmood Dale Schuurmans Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation. 2024 abs/2405.21043 CoRR https://doi.org/10.48550/arXiv.2405.21043 db/journals/corr/corr2405.html#abs-2405-21043

Alex Lewandowski Saurabh Kumar 0004 Dale Schuurmans András György 0001 Marlos C. Machado Learning Continually by Spectral Regularization. 2024 abs/2406.06811 CoRR https://doi.org/10.48550/arXiv.2406.06811 db/journals/corr/corr2406.html#abs-2406-06811

Bernd Bohnet Azade Nova Aaron T. Parisi Kevin Swersky Katayoon Goshvadi Hanjun Dai Dale Schuurmans Noah Fiedel Hanie Sedghi Exploring and Benchmarking the Planning Capabilities of Large Language Models. 2024 abs/2406.13094 CoRR https://doi.org/10.48550/arXiv.2406.13094 db/journals/corr/corr2406.html#abs-2406-13094

Hanjun Dai Bethany Wang Xingchen Wan Bo Dai 0001 Sherry Yang 0001 Azade Nova Pengcheng Yin Phitchaya Mangpo Phothilimthana Charles Sutton Dale Schuurmans UQE: A Query Engine for Unstructured Databases. 2024 abs/2407.09522 CoRR https://doi.org/10.48550/arXiv.2407.09522 db/journals/corr/corr2407.html#abs-2407-09522 streams/journals/corr

Sherry Yang 0001 Simon L. Batzner Ruiqi Gao Muratahan Aykol Alexander L. Gaunt Brendan McMorrow Danilo J. Rezende Dale Schuurmans Igor Mordatch Ekin D. Cubuk Generative Hierarchical Materials Search. 2024 abs/2409.06762 CoRR https://doi.org/10.48550/arXiv.2409.06762 db/journals/corr/corr2409.html#abs-2409-06762 streams/journals/corr

Dale Schuurmans Hanjun Dai Francesco Zanini Autoregressive Large Language Models are Computationally Universal. 2024 abs/2410.03170 CoRR https://doi.org/10.48550/arXiv.2410.03170 db/journals/corr/corr2410.html#abs-2410-03170 streams/journals/corr

Alex Lewandowski Dale Schuurmans Marlos C. Machado Plastic Learning with Deep Fourier Features. 2024 abs/2410.20634 CoRR https://doi.org/10.48550/arXiv.2410.20634 db/journals/corr/corr2410.html#abs-2410-20634 streams/journals/corr

Tong Yang 0007 Jincheng Mei Hanjun Dai Zixin Wen Shicong Cen Dale Schuurmans Yuejie Chi Bo Dai 0001 Faster WIND: Accelerating Iterative Best-of-<i>N</i> Distillation for LLM Alignment. 2024 abs/2410.20727 CoRR https://doi.org/10.48550/arXiv.2410.20727 db/journals/corr/corr2410.html#abs-2410-20727 streams/journals/corr

Bryan Chan Xinyi Chen András György 0001 Dale Schuurmans Toward Understanding In-context vs. In-weight Learning. 2024 abs/2410.23042 CoRR https://doi.org/10.48550/arXiv.2410.23042 db/journals/corr/corr2410.html#abs-2410-23042 streams/journals/corr

Hiroki Furuta Heiga Zen Dale Schuurmans Aleksandra Faust Yutaka Matsuo Percy Liang Sherry Yang 0001 Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback. 2024 abs/2412.02617 CoRR https://doi.org/10.48550/arXiv.2412.02617 db/journals/corr/corr2412.html#abs-2412-02617 streams/journals/corr

Calarina Muslimani Alex Lewandowski Dale Schuurmans Matthew E. Taylor Jun Luo 0009 Reinforcement Teaching. 2023 2023 Trans. Mach. Learn. Res. https://openreview.net/forum?id=G2GKiicaJI db/journals/tmlr/tmlr2023.html#MuslimaniLST023

Haoran Sun Hanjun Dai Bo Dai 0001 Haomin Zhou 0001 Dale Schuurmans Discrete Langevin Samplers via Wasserstein Gradient Flow. 6290-6313 2023 AISTATS https://proceedings.mlr.press/v206/sun23f.html conf/aistats/2023 db/conf/aistats/aistats2023.html#SunDD0S23 Hanjun Dai Yuan Xue 0001 Niao He Yixin Wang Na Li 0002 Dale Schuurmans Bo Dai 0001 Learning to Optimize with Stochastic Dominance Constraints. 8991-9009 2023 AISTATS https://proceedings.mlr.press/v206/dai23b.html conf/aistats/2023 db/conf/aistats/aistats2023.html#DaiXHW0SD23 Xuezhi Wang 0002 Jason Wei Dale Schuurmans Quoc V. Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou Self-Consistency Improves Chain of Thought Reasoning in Language Models. 2023 ICLR https://openreview.net/forum?id=1PL1NIMMrw conf/iclr/2023 db/conf/iclr/iclr2023.html#0002WSLCNCZ23 Ekin Akyürek Dale Schuurmans Jacob Andreas Tengyu Ma 0001 Denny Zhou What learning algorithm is in-context learning? Investigations with linear models. 2023 ICLR https://openreview.net/forum?id=0g0X4H8yN4I conf/iclr/2023 db/conf/iclr/iclr2023.html#AkyurekSA0Z23 Tongzheng Ren Chenjun Xiao Tianjun Zhang Na Li 0002 Zhaoran Wang 0001 Sujay Sanghavi Dale Schuurmans Bo Dai 0001 Latent Variable Representation for Reinforcement Learning. 2023 ICLR https://openreview.net/forum?id=mQpmZVzXK1h conf/iclr/2023 db/conf/iclr/iclr2023.html#RenXZ0WSSD23 Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai 0001 Spectral Decomposition Representation for Reinforcement Learning. 2023 ICLR https://openreview.net/forum?id=FBMLeaXpZN conf/iclr/2023 db/conf/iclr/iclr2023.html#RenZLGSD23 Haoran Sun Bo Dai 0001 Charles Sutton Dale Schuurmans Hanjun Dai Any-scale Balanced Samplers for Discrete Space. 2023 ICLR https://openreview.net/forum?id=lEkl0jdSb7B conf/iclr/2023 db/conf/iclr/iclr2023.html#SunDSSD23 Haoran Sun Lijun Yu Bo Dai 0001 Dale Schuurmans Hanjun Dai Score-based Continuous-time Discrete Diffusion Models. 2023 ICLR https://openreview.net/forum?id=BYWWwSY2G5s conf/iclr/2023 db/conf/iclr/iclr2023.html#SunYDSD23 Sherry Yang 0001 Dale Schuurmans Pieter Abbeel Ofir Nachum Dichotomy of Control: Separating What You Can Control from What You Cannot. 2023 ICLR https://openreview.net/forum?id=DEGjDDV22pI conf/iclr/2023 db/conf/iclr/iclr2023.html#YangSAN23 Tianjun Zhang Xuezhi Wang 0002 Denny Zhou Dale Schuurmans Joseph E. Gonzalez TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. 2023 ICLR https://openreview.net/forum?id=gSHyqBijPFO conf/iclr/2023 db/conf/iclr/iclr2023.html#Zhang0ZSG23 Denny Zhou Nathanael Schärli Le Hou Jason Wei Nathan Scales Xuezhi Wang 0002 Dale Schuurmans Claire Cui Olivier Bousquet Quoc V. Le Ed H. Chi Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. 2023 ICLR https://openreview.net/forum?id=WZH7099tgfM conf/iclr/2023 db/conf/iclr/iclr2023.html#ZhouSHWS0SCBLC23 Jincheng Mei Zixin Zhong Bo Dai 0001 Alekh Agarwal Csaba Szepesvári Dale Schuurmans Stochastic Gradient Succeeds for Bandits. 24325-24360 2023 ICML https://proceedings.mlr.press/v202/mei23a.html conf/icml/2023 db/conf/icml/icml2023.html#MeiZ0ASS23 Azade Nova Hanjun Dai Dale Schuurmans Gradient-Free Structured Pruning with Unlabeled Data. 26326-26341 2023 ICML https://proceedings.mlr.press/v202/nova23a.html conf/icml/2023 db/conf/icml/icml2023.html#NovaDS23 Haoran Sun Katayoon Goshvadi Azade Nova Dale Schuurmans Hanjun Dai Revisiting Sampling for Combinatorial Optimization. 32859-32874 2023 ICML https://proceedings.mlr.press/v202/sun23c.html conf/icml/2023 db/conf/icml/icml2023.html#SunGNSD23 Yilun Du Sherry Yang 0001 Bo Dai 0001 Hanjun Dai Ofir Nachum Josh Tenenbaum 0001 Dale Schuurmans Pieter Abbeel Learning Universal Policies via Text-Guided Video Generation. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/1d5b9233ad716a43be5c0d3023cb82d0-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#DuY0DN0SA23 Katayoon Goshvadi Haoran Sun Xingchao Liu Azade Nova Ruqi Zhang Will Grathwohl Dale Schuurmans Hanjun Dai DISCS: A Benchmark for Discrete Sampling. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/f9ad87c1ebbae8a3555adb31dbcacf44-Abstract-Datasets_and_Benchmarks.html conf/nips/2023 db/conf/nips/neurips2023.html#GoshvadiSLNZGSD23 Jincheng Mei Bo Dai 0001 Alekh Agarwal Mohammad Ghavamzadeh Csaba Szepesvári Dale Schuurmans Ordering-based Conditions for Global Convergence of Policy Gradient Methods. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/61c00c07e6d27285e4b952e96cc65666-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#Mei0AGSS23 Zichen Vincent Zhang Johannes Kirschner Junxi Zhang Francesco Zanini Alex Ayoub Masood Dehghan Dale Schuurmans Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/c4d66eae503694424123b93ac0fbaf17-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#ZhangKZZADS23 Tianjun Zhang Tongzheng Ren Chenjun Xiao Wenli Xiao Joseph E. Gonzalez Dale Schuurmans Bo Dai 0001 Energy-based Predictive Representations for Partially Observed Reinforcement Learning. 2477-2487 2023 UAI https://proceedings.mlr.press/v216/zhang23b.html conf/uai/2023 db/conf/uai/uai2023.html#ZhangRXXGS023

Dale Schuurmans Memory Augmented Large Language Models are Computationally Universal. 2023 abs/2301.04589 CoRR https://doi.org/10.48550/arXiv.2301.04589 db/journals/corr/corr2301.html#abs-2301-04589

Jincheng Mei Wesley Chung Valentin Thomas Bo Dai 0001 Csaba Szepesvári Dale Schuurmans The Role of Baselines in Policy Gradient Optimization. 2023 abs/2301.06276 CoRR https://doi.org/10.48550/arXiv.2301.06276 db/journals/corr/corr2301.html#abs-2301-06276

Yilun Du Mengjiao Yang 0001 Bo Dai 0001 Hanjun Dai Ofir Nachum Joshua B. Tenenbaum Dale Schuurmans Pieter Abbeel Learning Universal Policies via Text-Guided Video Generation. 2023 abs/2302.00111 CoRR https://doi.org/10.48550/arXiv.2302.00111 db/journals/corr/corr2302.html#abs-2302-00111

Sherry Yang 0001 Ofir Nachum Yilun Du Jason Wei Pieter Abbeel Dale Schuurmans Foundation Models for Decision Making: Problems, Methods, and Opportunities. 2023 abs/2303.04129 CoRR https://doi.org/10.48550/arXiv.2303.04129 db/journals/corr/corr2303.html#abs-2303-04129

Azade Nova Hanjun Dai Dale Schuurmans Gradient-Free Structured Pruning with Unlabeled Data. 2023 abs/2303.04185 CoRR https://doi.org/10.48550/arXiv.2303.04185 db/journals/corr/corr2303.html#abs-2303-04185

Mengjiao Yang 0001 Yilun Du Bo Dai 0001 Dale Schuurmans Joshua B. Tenenbaum Pieter Abbeel Probabilistic Adaptation of Text-to-Video Models. 2023 abs/2306.01872 CoRR https://doi.org/10.48550/arXiv.2306.01872 db/journals/corr/corr2306.html#abs-2306-01872

Mengjiao Yang 0001 Yilun Du Kamyar Ghasemipour Jonathan Tompson Dale Schuurmans Pieter Abbeel Learning Interactive Real-World Simulators. 2023 abs/2310.06114 CoRR https://doi.org/10.48550/arXiv.2310.06114 db/journals/corr/corr2310.html#abs-2310-06114

Zhaocheng Zhu Yuan Xue 0001 Xinyun Chen Denny Zhou Jian Tang 0005 Dale Schuurmans Hanjun Dai Large Language Models can Learn Rules. 2023 abs/2310.07064 CoRR https://doi.org/10.48550/arXiv.2310.07064 db/journals/corr/corr2310.html#abs-2310-07064

Mengjiao Yang 0001 KwangHwan Cho Amil Merchant Pieter Abbeel Dale Schuurmans Igor Mordatch Ekin Dogus Cubuk Scalable Diffusion for Materials Generation. 2023 abs/2311.09235 CoRR https://doi.org/10.48550/arXiv.2311.09235 db/journals/corr/corr2311.html#abs-2311-09235

Hongming Zhang 0012 Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 0001 Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning. 2023 abs/2311.12244 CoRR https://doi.org/10.48550/arXiv.2311.12244 db/journals/corr/corr2311.html#abs-2311-12244

Alex Lewandowski Haruto Tanaka Dale Schuurmans Marlos C. Machado Curvature Explains Loss of Plasticity. 2023 abs/2312.00246 CoRR https://doi.org/10.48550/arXiv.2312.00246 db/journals/corr/corr2312.html#abs-2312-00246

Mengjiao Yang 0001 Bo Dai 0001 Ofir Nachum George Tucker Dale Schuurmans Offline Policy Selection under Uncertainty. 4376-4396 2022 AISTATS https://proceedings.mlr.press/v151/yang22a.html conf/aistats/2022 db/conf/aistats/aistats2022.html#YangDNTS22 Chenjun Xiao Ilbin Lee Bo Dai 0001 Dale Schuurmans Csaba Szepesvári The Curse of Passive Data Collection in Batch Reinforcement Learning. 8413-8438 2022 AISTATS https://proceedings.mlr.press/v151/xiao22b.html conf/aistats/2022 db/conf/aistats/aistats2022.html#XiaoLDSS22 Hanjun Dai Yuan Xue 0001 Zia Syed Dale Schuurmans Bo Dai 0001 Neural Stochastic Dual Dynamic Programming. 2022 ICLR https://openreview.net/forum?id=aisKPsMM3fg conf/iclr/2022 db/conf/iclr/iclr2022.html#DaiXSSD22 Chenjun Xiao Bo Dai 0001 Jincheng Mei Oscar A. Ramirez Ramki Gummadi Chris Harris 0001 Dale Schuurmans Understanding and Leveraging Overparameterization in Recursive Value Estimation. 2022 ICLR https://openreview.net/forum?id=shbAgEsk3qM conf/iclr/2022 db/conf/iclr/iclr2022.html#XiaoDMRGHS22 Hanjun Dai Mengjiao Yang 0001 Yuan Xue 0001 Dale Schuurmans Bo Dai 0001 Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization. 4605-4617 2022 ICML https://proceedings.mlr.press/v162/dai22c.html conf/icml/2022 db/conf/icml/icml2022.html#DaiYXSD22 Ramki Gummadi Saurabh Kumar 0004 Junfeng Wen Dale Schuurmans A Parametric Class of Approximate Gradient Updates for Policy Optimization. 7998-8015 2022 ICML https://proceedings.mlr.press/v162/gummadi22a.html conf/icml/2022 db/conf/icml/icml2022.html#Gummadi0WS22 Tianjun Zhang Tongzheng Ren Mengjiao Yang 0001 Joseph Gonzalez 0001 Dale Schuurmans Bo Dai 0001 Making Linear MDPs Practical via Contrastive Representation Learning. 26447-26466 2022 ICML https://proceedings.mlr.press/v162/zhang22x.html conf/icml/2022 db/conf/icml/icml2022.html#ZhangRYGSD22 Hongyu Ren Hanjun Dai Bo Dai 0001 Xinyun Chen Denny Zhou Jure Leskovec Dale Schuurmans SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. 1472-1482 2022 KDD https://doi.org/10.1145/3534678.3539405 https://www.wikidata.org/entity/Q130921730 conf/kdd/2022 db/conf/kdd/kdd2022.html#RenDDCZLS22 Zichen Zhang 0001 Jun Jin 0001 Martin Jägersand Jun Luo 0009 Dale Schuurmans A Simple Decentralized Cross-Entropy Method. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/ec9dc93250548578aa4569aa19acfd81-Abstract-Conference.html db/conf/nips/neurips2022.html#00010J0S22 Jincheng Mei Wesley Chung Valentin Thomas Bo Dai 0001 Csaba Szepesvári Dale Schuurmans The Role of Baselines in Policy Gradient Optimization. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/718d02a76d69686a36eccc8cde3e6a41-Abstract-Conference.html db/conf/nips/neurips2022.html#MeiCTDSS22 Haoran Sun Hanjun Dai Dale Schuurmans Optimal Scaling for Locally Balanced Proposals in Discrete Spaces. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/96c6f409a374b5c81d2efa4bc5526f27-Abstract-Conference.html db/conf/nips/neurips2022.html#SunDS22 Jason Wei Xuezhi Wang 0002 Dale Schuurmans Maarten Bosma Brian Ichter Fei Xia 0002 Ed H. Chi Quoc V. Le Denny Zhou Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/9d5609613524ecf4f15af0f7b31abca4-Abstract-Conference.html db/conf/nips/neurips2022.html#Wei0SBIXCLZ22 Mengjiao Yang 0001 Dale Schuurmans Pieter Abbeel Ofir Nachum Chain of Thought Imitation with Procedure Cloning. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/ebdb990471f653dffb425eff03c7c980-Abstract-Conference.html db/conf/nips/neurips2022.html#YangSAN22 Runyu Zhang 0001 Jincheng Mei Bo Dai 0001 Dale Schuurmans Na Li 0002 On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/0cd4c8c7ba098b199242c6634f43f653-Abstract-Conference.html db/conf/nips/neurips2022.html#ZhangMDS022

Jason Wei Xuezhi Wang 0002 Dale Schuurmans Maarten Bosma Ed H. Chi Quoc Le 0001 Denny Zhou Chain of Thought Prompting Elicits Reasoning in Large Language Models. 2022 abs/2201.11903 CoRR https://arxiv.org/abs/2201.11903 db/journals/corr/corr2201.html#abs-2201-11903

Runyu Zhang 0001 Jincheng Mei Bo Dai 0001 Dale Schuurmans Na Li 0002 On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. 2022 abs/2202.00872 CoRR https://arxiv.org/abs/2202.00872 db/journals/corr/corr2202.html#abs-2202-00872

Xuezhi Wang 0002 Jason Wei Dale Schuurmans Quoc V. Le Ed H. Chi Denny Zhou Self-Consistency Improves Chain of Thought Reasoning in Language Models. 2022 abs/2203.11171 CoRR https://doi.org/10.48550/arXiv.2203.11171 https://www.wikidata.org/entity/Q135925983 db/journals/corr/corr2203.html#abs-2203-11171

Alex Lewandowski Calarina Muslimani Matthew E. Taylor Jun Luo 0009 Dale Schuurmans Reinforcement Teaching. 2022 abs/2204.11897 CoRR https://doi.org/10.48550/arXiv.2204.11897 db/journals/corr/corr2204.html#abs-2204-11897

Denny Zhou Nathanael Schärli Le Hou Jason Wei Nathan Scales Xuezhi Wang 0002 Dale Schuurmans Olivier Bousquet Quoc Le 0001 Ed H. Chi Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. 2022 abs/2205.10625 CoRR https://doi.org/10.48550/arXiv.2205.10625 db/journals/corr/corr2205.html#abs-2205-10625

Mengjiao Yang 0001 Dale Schuurmans Pieter Abbeel Ofir Nachum Chain of Thought Imitation with Procedure Cloning. 2022 abs/2205.10816 CoRR https://doi.org/10.48550/arXiv.2205.10816 db/journals/corr/corr2205.html#abs-2205-10816

Ramki Gummadi Saurabh Kumar 0004 Junfeng Wen Dale Schuurmans A Parametric Class of Approximate Gradient Updates for Policy Optimization. 2022 abs/2206.08499 CoRR https://doi.org/10.48550/arXiv.2206.08499 db/journals/corr/corr2206.html#abs-2206-08499

Haoran Sun Hanjun Dai Bo Dai 0001 Haomin Zhou 0001 Dale Schuurmans Discrete Langevin Sampler via Wasserstein Gradient Flow. 2022 abs/2206.14897 CoRR https://doi.org/10.48550/arXiv.2206.14897 db/journals/corr/corr2206.html#abs-2206-14897

Xuezhi Wang 0002 Jason Wei Dale Schuurmans Quoc V. Le Ed H. Chi Denny Zhou Rationale-Augmented Ensembles in Language Models. 2022 abs/2207.00747 CoRR https://doi.org/10.48550/arXiv.2207.00747 db/journals/corr/corr2207.html#abs-2207-00747

Tianjun Zhang Tongzheng Ren Mengjiao Yang 0001 Joseph E. Gonzalez Dale Schuurmans Bo Dai 0001 Making Linear MDPs Practical via Contrastive Representation Learning. 2022 abs/2207.07150 CoRR https://doi.org/10.48550/arXiv.2207.07150 db/journals/corr/corr2207.html#abs-2207-07150

Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai 0001 Spectral Decomposition Representation for Reinforcement Learning. 2022 abs/2208.09515 CoRR https://doi.org/10.48550/arXiv.2208.09515 db/journals/corr/corr2208.html#abs-2208-09515

Haoran Sun Hanjun Dai Dale Schuurmans Optimal Scaling for Locally Balanced Proposals in Discrete Spaces. 2022 abs/2209.08183 CoRR https://doi.org/10.48550/arXiv.2209.08183 db/journals/corr/corr2209.html#abs-2209-08183

Mengjiao Yang 0001 Dale Schuurmans Pieter Abbeel Ofir Nachum Dichotomy of Control: Separating What You Can Control from What You Cannot. 2022 abs/2210.13435 CoRR https://doi.org/10.48550/arXiv.2210.13435 db/journals/corr/corr2210.html#abs-2210-13435

Hanjun Dai Yuan Xue 0001 Niao He Bethany Wang Na Li 0002 Dale Schuurmans Bo Dai 0001 Learning to Optimize with Stochastic Dominance Constraints. 2022 abs/2211.07767 CoRR https://doi.org/10.48550/arXiv.2211.07767 db/journals/corr/corr2211.html#abs-2211-07767

Tianjun Zhang Xuezhi Wang 0002 Denny Zhou Dale Schuurmans Joseph E. Gonzalez TEMPERA: Test-Time Prompting via Reinforcement Learning. 2022 abs/2211.11890 CoRR https://doi.org/10.48550/arXiv.2211.11890 db/journals/corr/corr2211.html#abs-2211-11890

Ekin Akyürek Dale Schuurmans Jacob Andreas Tengyu Ma 0001 Denny Zhou What learning algorithm is in-context learning? Investigations with linear models. 2022 abs/2211.15661 CoRR https://doi.org/10.48550/arXiv.2211.15661 db/journals/corr/corr2211.html#abs-2211-15661

Haoran Sun Lijun Yu Bo Dai 0001 Dale Schuurmans Hanjun Dai Score-based Continuous-time Discrete Diffusion Models. 2022 abs/2211.16750 CoRR https://doi.org/10.48550/arXiv.2211.16750 db/journals/corr/corr2211.html#abs-2211-16750

Zichen Zhang 0001 Jun Jin 0001 Martin Jägersand Jun Luo 0009 Dale Schuurmans A Simple Decentralized Cross-Entropy Method. 2022 abs/2212.08235 CoRR https://doi.org/10.48550/arXiv.2212.08235 db/journals/corr/corr2212.html#abs-2212-08235

Tongzheng Ren Chenjun Xiao Tianjun Zhang Na Li 0002 Zhaoran Wang 0001 Sujay Sanghavi Dale Schuurmans Bo Dai 0001 Latent Variable Representation for Reinforcement Learning. 2022 abs/2212.08765 CoRR https://doi.org/10.48550/arXiv.2212.08765 db/journals/corr/corr2212.html#abs-2212-08765

Zichen Zhang 0001 Johannes Kirschner Junxi Zhang Francesco Zanini Alex Ayoub Masood Dehghan Dale Schuurmans Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off. 2022 abs/2212.08949 CoRR https://doi.org/10.48550/arXiv.2212.08949 db/journals/corr/corr2212.html#abs-2212-08949

Mahdi Karami Dale Schuurmans Deep Probabilistic Canonical Correlation Analysis. 8055-8063 2021 AAAI https://doi.org/10.1609/aaai.v35i9.16982 conf/aaai/2021 db/conf/aaai/aaai2021.html#KaramiS21 Seyed Kamyar Seyed Ghasemipour Dale Schuurmans Shixiang Shane Gu EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL. 3682-3691 2021 ICML http://proceedings.mlr.press/v139/ghasemipour21a.html conf/icml/2021 db/conf/icml/icml2021.html#GhasemipourSG21 Jincheng Mei Yue Gao Bo Dai 0001 Csaba Szepesvári Dale Schuurmans Leveraging Non-uniformity in First-order Non-convex Optimization. 7555-7564 2021 ICML http://proceedings.mlr.press/v139/mei21a.html conf/icml/2021 db/conf/icml/icml2021.html#MeiGDSS21 Hongyu Ren Hanjun Dai Bo Dai 0001 Xinyun Chen Michihiro Yasunaga Haitian Sun Dale Schuurmans Jure Leskovec Denny Zhou LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. 8959-8970 2021 ICML http://proceedings.mlr.press/v139/ren21a.html conf/icml/2021 db/conf/icml/icml2021.html#RenDDCYSSLZ21 Junfeng Wen Saurabh Kumar 0004 Ramki Gummadi Dale Schuurmans Characterizing the Gap Between Actor-Critic and Policy Gradient. 11101-11111 2021 ICML http://proceedings.mlr.press/v139/wen21b.html conf/icml/2021 db/conf/icml/icml2021.html#WenKGS21 Chenjun Xiao Yifan Wu Jincheng Mei Bo Dai 0001 Tor Lattimore Lihong Li 0001 Csaba Szepesvári Dale Schuurmans On the Optimality of Batch Policy Optimization Algorithms. 11362-11371 2021 ICML http://proceedings.mlr.press/v139/xiao21b.html conf/icml/2021 db/conf/icml/icml2021.html#XiaoWMDL0SS21 Jincheng Mei Bo Dai 0001 Chenjun Xiao Csaba Szepesvári Dale Schuurmans Understanding the Effect of Stochasticity in Policy Optimization. 19339-19351 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/a12f69495f41bb3b637ba1b6238884d6-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#MeiDXSS21 Hongyu Ren Hanjun Dai Zihang Dai Mengjiao Yang 0001 Jure Leskovec Dale Schuurmans Bo Dai 0001 Combiner: Full Attention Transformer with Sparse Computation Cost. 22470-22482 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/bd4a6d0563e0604510989eb8f9ff71f5-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#RenDDYLSD21

Nevena Lazic Botao Hao Yasin Abbasi-Yadkori Dale Schuurmans Csaba Szepesvári Optimization Issues in KL-Constrained Approximate Policy Iteration. 2021 abs/2102.06234 CoRR https://arxiv.org/abs/2102.06234 db/journals/corr/corr2102.html#abs-2102-06234

Chenjun Xiao Yifan Wu Tor Lattimore Bo Dai 0001 Jincheng Mei Lihong Li 0001 Csaba Szepesvári Dale Schuurmans On the Optimality of Batch Policy Optimization Algorithms. 2021 abs/2104.02293 CoRR https://arxiv.org/abs/2104.02293 db/journals/corr/corr2104.html#abs-2104-02293

Dennis Lee 0003 Natasha Jaques J. Chase Kew Douglas Eck Dale Schuurmans Aleksandra Faust Joint Attention for Multi-Agent Coordination and Social Learning. 2021 abs/2104.07750 CoRR https://arxiv.org/abs/2104.07750 db/journals/corr/corr2104.html#abs-2104-07750

Jincheng Mei Yue Gao Bo Dai 0001 Csaba Szepesvári Dale Schuurmans Leveraging Non-uniformity in First-order Non-convex Optimization. 2021 abs/2105.06072 CoRR https://arxiv.org/abs/2105.06072 db/journals/corr/corr2105.html#abs-2105-06072

Junfeng Wen Saurabh Kumar 0004 Ramki Gummadi Dale Schuurmans Characterizing the Gap Between Actor-Critic and Policy Gradient. 2021 abs/2106.06932 CoRR https://arxiv.org/abs/2106.06932 db/journals/corr/corr2106.html#abs-2106-06932

Chenjun Xiao Ilbin Lee Bo Dai 0001 Dale Schuurmans Csaba Szepesvári On the Sample Complexity of Batch Reinforcement Learning with Policy-Induced Data. 2021 abs/2106.09973 CoRR https://arxiv.org/abs/2106.09973 db/journals/corr/corr2106.html#abs-2106-09973

Hongyu Ren Hanjun Dai Zihang Dai Mengjiao Yang 0001 Jure Leskovec Dale Schuurmans Bo Dai 0001 Combiner: Full Attention Transformer with Sparse Computation Cost. 2021 abs/2107.05768 CoRR https://arxiv.org/abs/2107.05768 db/journals/corr/corr2107.html#abs-2107-05768

Hongyu Ren Hanjun Dai Bo Dai 0001 Xinyun Chen Denny Zhou Jure Leskovec Dale Schuurmans SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. 2021 abs/2110.14890 CoRR https://arxiv.org/abs/2110.14890 db/journals/corr/corr2110.html#abs-2110-14890

Jincheng Mei Bo Dai 0001 Chenjun Xiao Csaba Szepesvári Dale Schuurmans Understanding the Effect of Stochasticity in Policy Optimization. 2021 abs/2110.15572 CoRR https://arxiv.org/abs/2110.15572 db/journals/corr/corr2110.html#abs-2110-15572

Hanjun Dai Yuan Xue 0001 Zia Syed Dale Schuurmans Bo Dai 0001 Neural Stochastic Dual Dynamic Programming. 2021 abs/2112.00874 CoRR https://arxiv.org/abs/2112.00874 db/journals/corr/corr2112.html#abs-2112-00874

Ruiyi Zhang Bo Dai 0001 Lihong Li 0001 Dale Schuurmans GenDICE: Generalized Offline Estimation of Stationary Values. 2020 ICLR https://openreview.net/forum?id=HkxlcnVFwB conf/iclr/2020 db/conf/iclr/iclr2020.html#ZhangD0S20 Rishabh Agarwal Dale Schuurmans Mohammad Norouzi 0002 An Optimistic Perspective on Offline Reinforcement Learning. 104-114 2020 ICML http://proceedings.mlr.press/v119/agarwal20c.html conf/icml/2020 db/conf/icml/icml2020.html#AgarwalS020 Hanjun Dai Azade Nazi Yujia Li Bo Dai 0001 Dale Schuurmans Scalable Deep Generative Modeling for Sparse Graphs. 2302-2312 2020 ICML http://proceedings.mlr.press/v119/dai20b.html conf/icml/2020 db/conf/icml/icml2020.html#DaiNLDS20 Jincheng Mei Chenjun Xiao Csaba Szepesvári Dale Schuurmans On the Global Convergence Rates of Softmax Policy Gradient Methods. 6820-6829 2020 ICML http://proceedings.mlr.press/v119/mei20b.html conf/icml/2020 db/conf/icml/icml2020.html#MeiXSS20 Dijia Su Jayden Ooi Tyler Lu Dale Schuurmans Craig Boutilier ConQUR: Mitigating Delusional Bias in Deep Q-Learning. 9187-9195 2020 ICML http://proceedings.mlr.press/v119/su20c.html conf/icml/2020 db/conf/icml/icml2020.html#SuOLSB20 Junfeng Wen Bo Dai 0001 Lihong Li 0001 Dale Schuurmans Batch Stationary Distribution Estimation. 10203-10213 2020 ICML http://proceedings.mlr.press/v119/wen20a.html conf/icml/2020 db/conf/icml/icml2020.html#WenD0S20 Junfeng Wen Russell Greiner Dale Schuurmans Domain Aggregation Networks for Multi-Source Domain Adaptation. 10214-10224 2020 ICML http://proceedings.mlr.press/v119/wen20b.html conf/icml/2020 db/conf/icml/icml2020.html#WenGS20 Mengjiao Yang 0001 Bo Dai 0001 Hanjun Dai Dale Schuurmans Energy-Based Processes for Exchangeable Data. 10681-10692 2020 ICML http://proceedings.mlr.press/v119/yang20b.html conf/icml/2020 db/conf/icml/icml2020.html#YangDDS20 Denny Zhou Mao Ye 0006 Chen Chen Tianjian Meng Mingxing Tan Xiaodan Song Quoc V. Le Qiang Liu 0001 Dale Schuurmans Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. 11546-11555 2020 ICML http://proceedings.mlr.press/v119/zhou20f.html conf/icml/2020 db/conf/icml/icml2020.html#ZhouYCMTSLLS20 Bo Dai 0001 Ofir Nachum Yinlam Chow Lihong Li 0001 Csaba Szepesvári Dale Schuurmans CoinDICE: Off-Policy Confidence Interval Estimation. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/6aaba9a124857622930ca4e50f5afed2-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#DaiNC0SS20 Hanjun Dai Rishabh Singh Bo Dai 0001 Charles Sutton Dale Schuurmans Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/7612936dcc85282c6fa4dd9d4ffe57f1-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#DaiSDSS20 Nevena Lazic Dong Yin Mehrdad Farajtabar Nir Levine Dilan Görür Chris Harris 0001 Dale Schuurmans A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/9308b0d6e5898366a4a986bc33f3d3e7-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#LazicYFLGHS20 Jincheng Mei Chenjun Xiao Bo Dai 0001 Lihong Li 0001 Csaba Szepesvári Dale Schuurmans Escaping the Gravitational Pull of Softmax. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/f1cf2a082126bf02de0b307778ce73a7-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#MeiXD0SS20 Mengjiao Yang 0001 Ofir Nachum Bo Dai 0001 Lihong Li 0001 Dale Schuurmans Off-Policy Evaluation via the Regularized Lagrangian. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/488e4104520c6aab692863cc1dba45af-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#YangND0S20

Ruiyi Zhang Bo Dai 0001 Lihong Li 0001 Dale Schuurmans GenDICE: Generalized Offline Estimation of Stationary Values. 2020 abs/2002.09072 CoRR https://arxiv.org/abs/2002.09072 db/journals/corr/corr2002.html#abs-2002-09072

Andy Su Jayden Ooi Tyler Lu Dale Schuurmans Craig Boutilier ConQUR: Mitigating Delusional Bias in Deep Q-learning. 2020 abs/2002.12399 CoRR https://arxiv.org/abs/2002.12399 db/journals/corr/corr2002.html#abs-2002-12399

Junfeng Wen Bo Dai 0001 Lihong Li 0001 Dale Schuurmans Batch Stationary Distribution Estimation. 2020 abs/2003.00722 CoRR https://arxiv.org/abs/2003.00722 db/journals/corr/corr2003.html#abs-2003-00722

Mahdi Karami Dale Schuurmans Variational Inference for Deep Probabilistic Canonical Correlation Analysis. 2020 abs/2003.04292 CoRR https://arxiv.org/abs/2003.04292 db/journals/corr/corr2003.html#abs-2003-04292

Mengjiao Yang 0001 Bo Dai 0001 Hanjun Dai Dale Schuurmans Energy-Based Processes for Exchangeable Data. 2020 abs/2003.07521 CoRR https://arxiv.org/abs/2003.07521 db/journals/corr/corr2003.html#abs-2003-07521

Jincheng Mei Chenjun Xiao Csaba Szepesvári Dale Schuurmans On the Global Convergence Rates of Softmax Policy Gradient Methods. 2020 abs/2005.06392 CoRR https://arxiv.org/abs/2005.06392 db/journals/corr/corr2005.html#abs-2005-06392

Nevena Lazic Dong Yin Mehrdad Farajtabar Nir Levine Dilan Görür Chris Harris 0001 Dale Schuurmans A maximum-entropy approach to off-policy evaluation in average-reward MDPs. 2020 abs/2006.12620 CoRR https://arxiv.org/abs/2006.12620 db/journals/corr/corr2006.html#abs-2006-12620

Hanjun Dai Azade Nazi Yujia Li Bo Dai 0001 Dale Schuurmans Scalable Deep Generative Modeling for Sparse Graphs. 2020 abs/2006.15502 CoRR https://arxiv.org/abs/2006.15502 db/journals/corr/corr2006.html#abs-2006-15502

Denny Zhou Mao Ye 0006 Chen Chen Tianjian Meng Mingxing Tan Xiaodan Song Quoc V. Le Qiang Liu 0001 Dale Schuurmans Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. 2020 abs/2007.00811 CoRR https://arxiv.org/abs/2007.00811 db/journals/corr/corr2007.html#abs-2007-00811

Mengjiao Yang 0001 Ofir Nachum Bo Dai 0001 Lihong Li 0001 Dale Schuurmans Off-Policy Evaluation via the Regularized Lagrangian. 2020 abs/2007.03438 CoRR https://arxiv.org/abs/2007.03438 db/journals/corr/corr2007.html#abs-2007-03438

Seyed Kamyar Seyed Ghasemipour Dale Schuurmans Shixiang Shane Gu EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL. 2020 abs/2007.11091 CoRR https://arxiv.org/abs/2007.11091 db/journals/corr/corr2007.html#abs-2007-11091

Nan Ding 0002 Xinjie Fan Zhenzhong Lan Dale Schuurmans Radu Soricut Attention that does not Explain Away. 2020 abs/2009.14308 CoRR https://arxiv.org/abs/2009.14308 db/journals/corr/corr2009.html#abs-2009-14308

Bo Dai 0001 Ofir Nachum Yinlam Chow Lihong Li 0001 Csaba Szepesvári Dale Schuurmans CoinDICE: Off-Policy Confidence Interval Estimation. 2020 abs/2010.11652 CoRR https://arxiv.org/abs/2010.11652 db/journals/corr/corr2010.html#abs-2010-11652

Hanjun Dai Rishabh Singh Bo Dai 0001 Charles Sutton Dale Schuurmans Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration. 2020 abs/2011.05363 CoRR https://arxiv.org/abs/2011.05363 db/journals/corr/corr2011.html#abs-2011-05363

Mengjiao Yang 0001 Bo Dai 0001 Ofir Nachum George Tucker Dale Schuurmans Offline Policy Selection under Uncertainty. 2020 abs/2012.06919 CoRR https://arxiv.org/abs/2012.06919 db/journals/corr/corr2012.html#abs-2012-06919

Bo Dai 0001 Hanjun Dai Arthur Gretton Le Song Dale Schuurmans Niao He Kernel Exponential Family Estimation via Doubly Dual Embedding. 2321-2330 2019 AISTATS http://proceedings.mlr.press/v89/dai19a.html conf/aistats/2019 db/conf/aistats/aistats2019.html#DaiDGSSH19 Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi 0002 Learning to Generalize from Sparse and Underspecified Rewards. 130-140 2019 ICML http://proceedings.mlr.press/v97/agarwal19e.html conf/icml/2019 db/conf/icml/icml2019.html#AgarwalLS019 Zafarali Ahmed Nicolas Le Roux Mohammad Norouzi 0002 Dale Schuurmans Understanding the Impact of Entropy on Policy Optimization. 151-160 2019 ICML http://proceedings.mlr.press/v97/ahmed19a.html conf/icml/2019 db/conf/icml/icml2019.html#AhmedR0S19 Robert Dadashi Marc G. Bellemare Adrien Ali Taïga Nicolas Le Roux Dale Schuurmans The Value Function Polytope in Reinforcement Learning. 1486-1495 2019 ICML http://proceedings.mlr.press/v97/dadashi19a.html conf/icml/2019 db/conf/icml/icml2019.html#DadashiBTRS19 Jincheng Mei Chenjun Xiao Ruitong Huang Dale Schuurmans Martin Müller 0003 On Principled Entropy Exploration in Policy Optimization. 2019 IJCAI https://doi.org/10.24963/ijcai.2019/434 conf/ijcai/2019 db/conf/ijcai/ijcai2019.html#MeiXHS019 3130-3136 Martin Mladenov Ofer Meshi Jayden Ooi Dale Schuurmans Craig Boutilier Advantage Amplification in Slowly Evolving Latent-State Environments. 2019 IJCAI https://doi.org/10.24963/ijcai.2019/439 conf/ijcai/2019 db/conf/ijcai/ijcai2019.html#MladenovMOSB19 3165-3172 Marc G. Bellemare Will Dabney Robert Dadashi Adrien Ali Taïga Pablo Samuel Castro Nicolas Le Roux Dale Schuurmans Tor Lattimore Clare Lyle A Geometric Perspective on Optimal Representations for Reinforcement Learning. 4360-4371 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/3cf2559725a9fdfa602ec8c887440f32-Abstract.html http://papers.nips.cc/paper/8687-a-geometric-perspective-on-optimal-representations-for-reinforcement-learning conf/nips/2019 db/conf/nips/nips2019.html#BellemareDDTCRS19 Mahdi Karami Dale Schuurmans Jascha Sohl-Dickstein Laurent Dinh Daniel Duckworth Invertible Convolutional Flow. 5636-5646 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/b1f62fa99de9f27a048344d55c5ef7a6-Abstract.html http://papers.nips.cc/paper/8801-invertible-convolutional-flow conf/nips/2019 db/conf/nips/nips2019.html#KaramiSSDD19 Minmin Chen Ramki Gummadi Chris Harris 0001 Dale Schuurmans Surrogate Objectives for Batch Policy Optimization in One-step Decision Making. 8825-8835 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/84899ae725ba49884f4c85c086f1b340-Abstract.html http://papers.nips.cc/paper/9086-surrogate-objectives-for-batch-policy-optimization-in-one-step-decision-making conf/nips/2019 db/conf/nips/nips2019.html#ChenGHS19 Chenjun Xiao Ruitong Huang Jincheng Mei Dale Schuurmans Martin Müller 0003 Maximum Entropy Monte-Carlo Planning. 9516-9524 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/7ffb4e0ece07869880d51662a2234143-Abstract.html http://papers.nips.cc/paper/9148-maximum-entropy-monte-carlo-planning conf/nips/2019 db/conf/nips/nips2019.html#XiaoHMS019 Bo Dai 0001 Zhen Liu 0019 Hanjun Dai Niao He Arthur Gretton Le Song Dale Schuurmans Exponential Family Estimation via Adversarial Dynamics Embedding. 10977-10988 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/767d01b4bac1a1e8824c9b9f7cc79a04-Abstract.html http://papers.nips.cc/paper/9279-exponential-family-estimation-via-adversarial-dynamics-embedding conf/nips/2019 db/conf/nips/nips2019.html#DaiLDHGSS19

Robert Dadashi Adrien Ali Taïga Nicolas Le Roux Dale Schuurmans Marc G. Bellemare The Value Function Polytope in Reinforcement Learning. 2019 abs/1901.11524 CoRR http://arxiv.org/abs/1901.11524 db/journals/corr/corr1901.html#abs-1901-11524

Marc G. Bellemare Will Dabney Robert Dadashi Adrien Ali Taïga Pablo Samuel Castro Nicolas Le Roux Dale Schuurmans Tor Lattimore Clare Lyle A Geometric Perspective on Optimal Representations for Reinforcement Learning. 2019 abs/1901.11530 CoRR http://arxiv.org/abs/1901.11530 db/journals/corr/corr1901.html#abs-1901-11530

Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi 0002 Learning to Generalize from Sparse and Underspecified Rewards. 2019 abs/1902.07198 CoRR http://arxiv.org/abs/1902.07198 db/journals/corr/corr1902.html#abs-1902-07198

Bo Dai 0001 Zhen Liu 0019 Hanjun Dai Niao He Arthur Gretton Le Song Dale Schuurmans Exponential Family Estimation via Adversarial Dynamics Embedding. 2019 abs/1904.12083 CoRR http://arxiv.org/abs/1904.12083 db/journals/corr/corr1904.html#abs-1904-12083

Martin Mladenov Ofer Meshi Jayden Ooi Dale Schuurmans Craig Boutilier Advantage Amplification in Slowly Evolving Latent-State Environments. 2019 abs/1905.13559 CoRR http://arxiv.org/abs/1905.13559 db/journals/corr/corr1905.html#abs-1905-13559

Rishabh Agarwal Dale Schuurmans Mohammad Norouzi 0002 Striving for Simplicity in Off-policy Deep Reinforcement Learning. 2019 abs/1907.04543 CoRR http://arxiv.org/abs/1907.04543 db/journals/corr/corr1907.html#abs-1907-04543

Junfeng Wen Russell Greiner Dale Schuurmans Domain Aggregation Networks for Multi-Source Domain Adaptation. 2019 abs/1909.05352 CoRR http://arxiv.org/abs/1909.05352 db/journals/corr/corr1909.html#abs-1909-05352

Ofir Nachum Bo Dai 0001 Ilya Kostrikov Yinlam Chow Lihong Li 0001 Dale Schuurmans AlgaeDICE: Policy Gradient from Arbitrary Experience. 2019 abs/1912.02074 CoRR http://arxiv.org/abs/1912.02074 db/journals/corr/corr1912.html#abs-1912-02074

Chenjun Xiao Yifan Wu Chen Ma Dale Schuurmans Martin Müller 0003 Learning to Combat Compounding-Error in Model-Based Reinforcement Learning. 2019 abs/1912.11206 CoRR http://arxiv.org/abs/1912.11206 db/journals/corr/corr1912.html#abs-1912-11206

Aditya Grover Ramki Gummadi Miguel Lázaro-Gredilla Dale Schuurmans Stefano Ermon Variational Rejection Sampling. 823-832 2018 AISTATS http://proceedings.mlr.press/v84/grover18a.html conf/aistats/2018 db/conf/aistats/aistats2018.html#GroverGLSE18 Ofir Nachum Mohammad Norouzi 0002 Kelvin Xu Dale Schuurmans Trust-PCL: An Off-Policy Trust Region Method for Continuous Control. 2018 ICLR (Poster) https://openreview.net/forum?id=HyrCWeWCb conf/iclr/2018 db/conf/iclr/iclr2018.html#Nachum0XS18 Ofir Nachum Mohammad Norouzi 0002 George Tucker Dale Schuurmans Smoothed Action Value Functions for Learning Gaussian Policies. 3689-3697 2018 ICML http://proceedings.mlr.press/v80/nachum18a.html conf/icml/2018 db/conf/icml/icml2018.html#Nachum0TS18 Craig Boutilier Alon Cohen Avinatan Hassidim Yishay Mansour Ofer Meshi Martin Mladenov Dale Schuurmans Planning and Learning with Stochastic Action Sets. 4674-4682 2018 IJCAI https://doi.org/10.24963/ijcai.2018/650 conf/ijcai/2018 db/conf/ijcai/ijcai2018.html#BoutilierCHMMMS18 Tyler Lu Dale Schuurmans Craig Boutilier Non-delusional Q-learning and value-iteration. 9971-9981 2018 NeurIPS https://proceedings.neurips.cc/paper/2018/hash/5fd0245f6c9ddbdf3eff0f505975b6a7-Abstract.html http://papers.nips.cc/paper/8200-non-delusional-q-learning-and-value-iteration conf/nips/2018 db/conf/nips/nips2018.html#LuSB18

Ofir Nachum Mohammad Norouzi 0002 George Tucker Dale Schuurmans Smoothed Action Value Functions for Learning Gaussian Policies. 2018 abs/1803.02348 CoRR http://arxiv.org/abs/1803.02348 db/journals/corr/corr1803.html#abs-1803-02348

Aditya Grover Ramki Gummadi Miguel Lázaro-Gredilla Dale Schuurmans Stefano Ermon Variational Rejection Sampling. 2018 abs/1804.01712 CoRR http://arxiv.org/abs/1804.01712 db/journals/corr/corr1804.html#abs-1804-01712

Craig Boutilier Alon Cohen Amit Daniely Avinatan Hassidim Yishay Mansour Ofer Meshi Martin Mladenov Dale Schuurmans Planning and Learning with Stochastic Action Sets. 2018 abs/1805.02363 CoRR http://arxiv.org/abs/1805.02363 db/journals/corr/corr1805.html#abs-1805-02363

Bo Dai 0001 Hanjun Dai Arthur Gretton Le Song Dale Schuurmans Niao He Kernel Exponential Family Estimation via Doubly Dual Embedding. 2018 abs/1811.02228 CoRR http://arxiv.org/abs/1811.02228 db/journals/corr/corr1811.html#abs-1811-02228

Zafarali Ahmed Nicolas Le Roux Mohammad Norouzi 0002 Dale Schuurmans Understanding the impact of entropy on policy optimization. 2018 abs/1811.11214 CoRR http://arxiv.org/abs/1811.11214 db/journals/corr/corr1811.html#abs-1811-11214

Yaoliang Yu Xinhua Zhang Dale Schuurmans Generalized Conditional Gradient for Sparse Estimation. 144:1-144:46 2017 18 J. Mach. Learn. Res. https://jmlr.org/papers/v18/14-348.html db/journals/jmlr/jmlr18.html#YuZS17

Martin A. Zinkevich Dale Schuurmans Formalizing Anthropomorphism Through Games: A Study in Deep Neural Networks. 2017 AAAI Workshops https://aaai.org/papers/aaaiw-ws0413-17-15228/ conf/aaai/2017w db/conf/aaai/aaai2017w.html#ZinkevichS17 Ofir Nachum Mohammad Norouzi 0002 Dale Schuurmans Improving Policy Gradient by Exploring Under-appreciated Rewards. 2017 ICLR (Poster) https://openreview.net/forum?id=ryT4pvqll conf/iclr/2017 db/conf/iclr/iclr2017.html#Nachum0S17 Martin Mladenov Craig Boutilier Dale Schuurmans Ofer Meshi Gal Elidan Tyler Lu Logistic Markov Decision Processes. 2486-2493 2017 IJCAI https://doi.org/10.24963/ijcai.2017/346 conf/ijcai/2017 db/conf/ijcai/ijcai2017.html#MladenovBSMEL17 Ofir Nachum Mohammad Norouzi 0002 Kelvin Xu Dale Schuurmans Bridging the Gap Between Value and Policy Based Reinforcement Learning. 2775-2785 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/facf9f743b083008a894eee7baa16469-Abstract.html http://papers.nips.cc/paper/6870-bridging-the-gap-between-value-and-policy-based-reinforcement-learning conf/nips/2017 db/conf/nips/nips2017.html#NachumNXS17 Mahdi Karami Martha White Dale Schuurmans Csaba Szepesvári Multi-view Matrix Factorization for Linear Dynamical System Estimation. 7092-7101 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/c2964caac096f26db222cb325aa267cb-Abstract.html http://papers.nips.cc/paper/7284-multi-view-matrix-factorization-for-linear-dynamical-system-estimation conf/nips/2017 db/conf/nips/nips2017.html#KaramiWSS17 Martin A. Zinkevich Alex Davies Dale Schuurmans Holographic Feature Representations of Deep Networks. 2017 UAI http://auai.org/uai2017/proceedings/papers/267.pdf conf/uai/2017 db/conf/uai/uai2017.html#ZinkevichDS17

Ofir Nachum Mohammad Norouzi 0002 Kelvin Xu Dale Schuurmans Bridging the Gap Between Value and Policy Based Reinforcement Learning. 2017 abs/1702.08892 CoRR http://arxiv.org/abs/1702.08892 db/journals/corr/corr1702.html#NachumNXS17

Ofir Nachum Mohammad Norouzi 0002 Kelvin Xu Dale Schuurmans Trust-PCL: An Off-Policy Trust Region Method for Continuous Control. 2017 abs/1707.01891 CoRR http://arxiv.org/abs/1707.01891 db/journals/corr/corr1707.html#NachumNXS17aa

Tyler Lu Martin Zinkevich Craig Boutilier Binz Roy Dale Schuurmans Safe Exploration for Identifying Linear Systems via Robust Optimization. 2017 abs/1711.11165 CoRR http://arxiv.org/abs/1711.11165 db/journals/corr/corr1711.html#abs-1711-11165

Siamak Ravanbakhsh Barnabás Póczos Jeff G. Schneider Dale Schuurmans Russell Greiner Stochastic Neural Networks with Monotonic Activation Functions. 809-818 2016 AISTATS http://proceedings.mlr.press/v51/ravanbakhsh16.html conf/aistats/2016 db/conf/aistats/aistats2016.html#RavanbakhshPSSG16 Hao Cheng 0002 Yaoliang Yu Xinhua Zhang Eric P. Xing Dale Schuurmans Scalable and Sound Low-Rank Tensor Learning. 1114-1123 2016 AISTATS http://proceedings.mlr.press/v51/cheng16.html conf/aistats/2016 db/conf/aistats/aistats2016.html#ChengYZXS16 Dale Schuurmans Martin Zinkevich Deep Learning Games. 1678-1686 2016 NIPS https://proceedings.neurips.cc/paper/2016/hash/c4015b7f368e6b4871809f49debe0579-Abstract.html http://papers.nips.cc/paper/6315-deep-learning-games conf/nips/2016 db/conf/nips/nips2016.html#SchuurmansZ16 Mohammad Norouzi 0002 Samy Bengio Zhifeng Chen Navdeep Jaitly Mike Schuster Yonghui Wu Dale Schuurmans Reward Augmented Maximum Likelihood for Neural Structured Prediction. 1723-1731 2016 NIPS https://proceedings.neurips.cc/paper/2016/hash/2f885d0fbe2e131bfc9d98363e55d1d4-Abstract.html http://papers.nips.cc/paper/6547-reward-augmented-maximum-likelihood-for-neural-structured-prediction conf/nips/2016 db/conf/nips/nips2016.html#NorouziBCJSWS16 Dale Schuurmans Michael P. Wellman Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. 2016 https://ojs.aaai.org/index.php/AAAI/issue/view/303 https://ojs.aaai.org/index.php/AAAI/issue/view/484 AAAI AAAI Press 978-1-57735-760-5 db/conf/aaai/aaai2016.html

Siamak Ravanbakhsh Barnabás Póczos Jeff G. Schneider Dale Schuurmans Russell Greiner Stochastic Neural Networks with Monotonic Activation Functions. 2016 abs/1601.00034 CoRR http://arxiv.org/abs/1601.00034 db/journals/corr/corr1601.html#RavanbakhshPSSG16

Mohammad Norouzi 0002 Samy Bengio Zhifeng Chen Navdeep Jaitly Mike Schuster Yonghui Wu Dale Schuurmans Reward Augmented Maximum Likelihood for Neural Structured Prediction. 2016 abs/1609.00150 CoRR http://arxiv.org/abs/1609.00150 db/journals/corr/corr1609.html#NorouziBCJSWS16

Ofir Nachum Mohammad Norouzi 0002 Dale Schuurmans Improving Policy Gradient by Exploring Under-appreciated Rewards. 2016 abs/1611.09321 CoRR http://arxiv.org/abs/1611.09321 db/journals/corr/corr1611.html#NachumNS16

Mohamed Elgendi Richard Ribón Fletcher Ian Norton Matt Brearley Derek Abbott Nigel H. Lovell Dale Schuurmans Frequency analysis of photoplethysmogram and its derivatives. 503-512 2015 122 Comput. Methods Programs Biomed. 3 https://doi.org/10.1016/j.cmpb.2015.09.021 https://www.wikidata.org/entity/Q51673776 db/journals/cmpb/cmpb122.html#ElgendiFNBALS15

Mohamed Elgendi Rich Fletcher Ian Norton Matt Brearley Derek Abbott Nigel H. Lovell Dale Schuurmans On Time Domain Analysis of Photoplethysmogram Signals for Monitoring Heat Stress. 24716-24734 2015 15 Sensors 10 https://doi.org/10.3390/s151024716 https://www.wikidata.org/entity/Q36252212 db/journals/sensors/sensors15.html#ElgendiFNBALS15

Martha White Junfeng Wen Michael Bowling Dale Schuurmans Optimal Estimation of Multivariate ARMA Models. 3080-3086 2015 AAAI https://doi.org/10.1609/aaai.v29i1.9614 conf/aaai/2015 db/conf/aaai/aaai2015.html#WhiteWBS15 James Neufeld Dale Schuurmans Michael H. Bowling Variance Reduction via Antithetic Markov Chains. 2015 AISTATS http://proceedings.mlr.press/v38/neufeld15.html conf/aistats/2015 db/conf/aistats/aistats2015.html#NeufeldSB15 Xin Li 0013 Yuhong Guo Dale Schuurmans Semi-Supervised Zero-Shot Classification with Label Representation Learning. 4211-4219 2015 ICCV https://doi.org/10.1109/ICCV.2015.479 https://doi.ieeecomputersociety.org/10.1109/ICCV.2015.479 conf/iccv/2015 db/conf/iccv/iccv2015.html#LiGS15 Junfeng Wen Russell Greiner Dale Schuurmans Correcting Covariate Shift with the Frank-Wolfe Algorithm. 1010-1016 2015 IJCAI http://ijcai.org/Abstract/15/147 conf/ijcai/2015 db/conf/ijcai/ijcai2015.html#WenGS15 Farzaneh Mirzazadeh Siamak Ravanbakhsh Nan Ding 0002 Dale Schuurmans Embedding Inference for Structured Multilabel Prediction. 3555-3563 2015 NIPS https://proceedings.neurips.cc/paper/2015/hash/d77f00766fd3be3f2189c843a6af3fb2-Abstract.html http://papers.nips.cc/paper/5675-embedding-inference-for-structured-multilabel-prediction conf/nips/2015 db/conf/nips/nips2015.html#MirzazadehRDS15 Karim T. Abou-Moustafa Dale Schuurmans Generalization in Unsupervised Learning. 300-317 2015 ECML/PKDD (1) https://doi.org/10.1007/978-3-319-23528-8_19 conf/pkdd/2015-1 db/conf/pkdd/pkdd2015-1.html#Abou-MoustafaS15 Farzaneh Mirzazadeh Martha White András György 0001 Dale Schuurmans Scalable Metric Learning for Co-Embedding. 625-642 2015 ECML/PKDD (1) https://doi.org/10.1007/978-3-319-23528-8_39 conf/pkdd/2015-1 db/conf/pkdd/pkdd2015-1.html#MirzazadehWGS15

Ruitong Huang Bing Xu Dale Schuurmans Csaba Szepesvári Learning with a Strong Adversary. 2015 abs/1511.03034 CoRR http://arxiv.org/abs/1511.03034 db/journals/corr/corr1511.html#HuangXSS15

Farzaneh Mirzazadeh Yuhong Guo Dale Schuurmans Convex Co-embedding. 1989-1996 2014 AAAI https://doi.org/10.1609/aaai.v28i1.8976 conf/aaai/2014 db/conf/aaai/aaai2014.html#MirzazadehGS14 James Neufeld András György 0001 Csaba Szepesvári Dale Schuurmans Adaptive Monte Carlo via Bandit Allocation. 1944-1952 2014 ICML http://proceedings.mlr.press/v32/neufeld14.html conf/icml/2014 db/conf/icml/icml2014.html#NeufeldGSS14 Özlem Aslan Xinhua Zhang Dale Schuurmans Convex Deep Learning via Normalized Kernels. 3275-3283 2014 NIPS https://proceedings.neurips.cc/paper/2014/hash/4f398cb9d6bc79ae567298335b51ba8a-Abstract.html http://papers.nips.cc/paper/5496-convex-deep-learning-via-normalized-kernels conf/nips/2014 db/conf/nips/nips2014.html#AslanZS14

James Neufeld András György 0001 Dale Schuurmans Csaba Szepesvári Adaptive Monte Carlo via Bandit Allocation. 2014 abs/1405.3318 CoRR http://arxiv.org/abs/1405.3318 db/journals/corr/corr1405.html#NeufeldGSS14

Yaoliang Yu Xinhua Zhang Dale Schuurmans Generalized Conditional Gradient for Sparse Estimation. 2014 abs/1410.4828 CoRR http://arxiv.org/abs/1410.4828 db/journals/corr/corr1410.html#YuZS14

Shaojun Wang Shaomin Wang Li Cheng 0001 Russell Greiner Dale Schuurmans Exploiting Syntactic, Semantic, and Lexical Regularities in Language Modeling via Directed Markov Random Fields. 649-679 2013 29 Comput. Intell. 4 https://doi.org/10.1111/j.1467-8640.2012.00436.x db/journals/ci/ci29.html#WangWCGS13

Karim T. Abou-Moustafa Dale Schuurmans Frank P. Ferrie Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning. 341-356 2013 ACML http://proceedings.mlr.press/v29/Moustafa13.html conf/acml/2013 db/conf/acml/acml2013.html#Abou-MoustafaSF13 Karim T. Abou-Moustafa Frank P. Ferrie Dale Schuurmans Divergence based graph estimation for manifold learning. 447-450 2013 GlobalSIP https://doi.org/10.1109/GlobalSIP.2013.6736911 conf/globalsip/2013 db/conf/globalsip/globalsip2013.html#Abou-MoustafaFS13 Yaoliang Yu Hao Cheng 0002 Dale Schuurmans Csaba Szepesvári Characterizing the Representer Theorem. 570-578 2013 ICML (1) http://proceedings.mlr.press/v28/yu13.html conf/icml/2013 db/conf/icml/icml2013.html#YuCSS13 Xinhua Zhang Yaoliang Yu Dale Schuurmans Polar Operators for Structured Sparse Estimation. 82-90 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/92cc227532d17e56e07902b254dfad10-Abstract.html http://papers.nips.cc/paper/4935-polar-operators-for-structured-sparse-estimation conf/nips/2013 db/conf/nips/nips2013.html#ZhangYS13 Özlem Aslan Hao Cheng 0002 Xinhua Zhang Dale Schuurmans Convex Two-Layer Modeling. 2985-2993 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/a9be4c2a4041cadbf9d61ae16dd1389e-Abstract.html http://papers.nips.cc/paper/4867-convex-two-layer-modeling conf/nips/2013 db/conf/nips/nips2013.html#AslanCZS13 Yuhong Guo Dale Schuurmans Multi-label Classification with Output Kernels. 417-432 2013 ECML/PKDD (2) https://doi.org/10.1007/978-3-642-40991-2_27 conf/pkdd/2013-2 db/conf/pkdd/pkdd2013-2.html#GuoS13 Yi Shi 0005 Xinhua Zhang Xiaoping Liao Guohui Lin Dale Schuurmans Protein-chemical Interaction Prediction via Kernelized Sparse Learning SVM. 41-52 2013 Pacific Symposium on Biocomputing http://psb.stanford.edu/psb-online/proceedings/psb13/shi.pdf conf/psb/2013 db/conf/psb/psb2013.html#ShiZLLS13 Hao Cheng 0002 Xinhua Zhang Dale Schuurmans Convex Relaxations of Bregman Divergence Clustering. 2013 UAI https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=2377&proceeding_id=29 conf/uai/2013 db/conf/uai/uai2013.html#ChengZS13

Dale Schuurmans Finnegan Southey Monte Carlo Inference via Greedy Importance Sampling http://arxiv.org/abs/1301.3890 2013 CoRR abs/1301.3890 db/journals/corr/corr1301.html#abs-1301-3890

Russell Greiner Adam J. Grove Dale Schuurmans Learning Bayesian Nets that Perform Well http://arxiv.org/abs/1302.1542 2013 CoRR abs/1302.1542 db/journals/corr/corr1302.html#abs-1302-1542

Hengshuai Yao Dale Schuurmans Reinforcement Ranking http://arxiv.org/abs/1303.5988 2013 CoRR abs/1303.5988 db/journals/corr/corr1303.html#abs-1303-5988

Hao Cheng 0002 Xinhua Zhang Dale Schuurmans Convex Relaxations of Bregman Divergence Clustering. 2013 CoRR http://arxiv.org/abs/1309.6823 abs/1309.6823 db/journals/corr/corr1309.html#ChengZS13

Yi Shi 0005 Maryam Hasan Zhipeng Cai 0001 Guohui Lin Dale Schuurmans Linear Coherent Bi-Clustering via Beam Searching and Sample Set Clustering. 2012 4 Discret. Math. Algorithms Appl. 2 https://doi.org/10.1142/S1793830912500231 db/journals/dmaa/dmaa4.html#ShiHCLS12

Jiming Peng Lopamudra Mukherjee Vikas Singh Dale Schuurmans Linli Xu An efficient algorithm for maximal margin clustering. 123-137 2012 52 J. Glob. Optim. 1 https://doi.org/10.1007/s10898-011-9691-4 db/journals/jgo/jgo52.html#PengMSSX12

Daniel J. Lizotte Russell Greiner Dale Schuurmans An experimental methodology for response surface optimization methods. 699-736 2012 53 J. Glob. Optim. 4 https://doi.org/10.1007/s10898-011-9732-z db/journals/jgo/jgo53.html#LizotteGS12

Shaojun Wang Dale Schuurmans Yunxin Zhao The Latent Maximum Entropy Principle. 8:1-8:42 2012 6 ACM Trans. Knowl. Discov. Data 2 https://doi.org/10.1145/2297456.2297460 db/journals/tkdd/tkdd6.html#WangSZ12

James Neufeld Yaoliang Yu Xinhua Zhang Ryan Kiros Dale Schuurmans Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations. 2012 ICML http://icml.cc/2012/papers/899.pdf conf/icml/2012 db/conf/icml/icml2012.html#NeufeldYZKS12 Martha White Yaoliang Yu Xinhua Zhang Dale Schuurmans Convex Multi-view Subspace Learning. 1682-1690 2012 NIPS https://proceedings.neurips.cc/paper/2012/hash/1141938ba2c2b13f5505d7c424ebae5f-Abstract.html http://papers.nips.cc/paper/4632-convex-multi-view-subspace-learning conf/nips/2012 db/conf/nips/nips2012.html#WhiteYZS12 Yaoliang Yu Özlem Aslan Dale Schuurmans A Polynomial-time Form of Robust Regression. 2492-2500 2012 NIPS https://proceedings.neurips.cc/paper/2012/hash/ae5e3ce40e0404a45ecacaaf05e5f735-Abstract.html http://papers.nips.cc/paper/4558-a-polynomial-time-form-of-robust-regression conf/nips/2012 db/conf/nips/nips2012.html#YuAS12 Xinhua Zhang Yaoliang Yu Dale Schuurmans Accelerated Training for Matrix-norm Regularization: A Boosting Approach. 2915-2923 2012 NIPS https://proceedings.neurips.cc/paper/2012/hash/1ee3dfcd8a0645a25a35977997223d22-Abstract.html http://papers.nips.cc/paper/4663-accelerated-training-for-matrix-norm-regularization-a-boosting-approach conf/nips/2012 db/conf/nips/nips2012.html#ZhangYS12 Yuhong Guo Dale Schuurmans Semi-supervised Multi-label Classification - A Simultaneous Large-Margin, Subspace Learning Approach. 355-370 2012 ECML/PKDD (2) https://doi.org/10.1007/978-3-642-33486-3_23 conf/pkdd/2012-2 db/conf/pkdd/pkdd2012-2.html#GuoS12 Yi Shi 0005 Xiaoping Liao Xinhua Zhang Guohui Lin Dale Schuurmans Sparse Learning Based Linear Coherent Bi-clustering. 346-364 2012 WABI https://doi.org/10.1007/978-3-642-33122-0_28 conf/wabi/2012 db/conf/wabi/wabi2012.html#ShiLZLS12 Martha White Dale Schuurmans Generalized Optimal Reverse Prediction. 1305-1313 AISTATS 2012 conf/aistats/2012 http://proceedings.mlr.press/v22/white12.html db/journals/jmlr/jmlrp22.html#WhiteS12

Yaoliang Yu Dale Schuurmans Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering http://arxiv.org/abs/1202.3772 2012 CoRR abs/1202.3772 db/journals/corr/corr1202.html#abs-1202-3772

Yuhong Guo Dale Schuurmans Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. 2012 abs/1206.6832 CoRR http://arxiv.org/abs/1206.6832 db/journals/corr/corr1206.html#GuoS12

Yuhong Guo Dana F. Wilkinson Dale Schuurmans Maximum Margin Bayesian Networks http://arxiv.org/abs/1207.1382 2012 CoRR abs/1207.1382 db/journals/corr/corr1207.html#abs-1207-1382

Fletcher Lu Dale Schuurmans Monte Carlo Matrix Inversion Policy Evaluation http://arxiv.org/abs/1212.2471 2012 CoRR abs/1212.2471 db/journals/corr/corr1212.html#abs-1212-2471

Shaojun Wang Dale Schuurmans Fuchun Peng Yunxin Zhao Boltzmann Machine Learning with the Latent Maximum Entropy Principle http://arxiv.org/abs/1212.2514 2012 CoRR abs/1212.2514 db/journals/corr/corr1212.html#abs-1212-2514

Li Cheng 0001 Minglun Gong Dale Schuurmans Terry Caelli Real-Time Discriminative Background Subtraction. 1401-1414 2011 20 IEEE Trans. Image Process. 5 https://doi.org/10.1109/TIP.2010.2087764 https://www.wikidata.org/entity/Q51646166 db/journals/tip/tip20.html#ChengGSC11

Yuhong Guo Dale Schuurmans Adaptive Large Margin Training for Multilabel Classification. 2011 AAAI https://doi.org/10.1609/aaai.v25i1.7895 conf/aaai/2011 db/conf/aaai/aaai2011.html#GuoS11 374-379 Xinhua Zhang Yaoliang Yu Martha White Ruitong Huang Dale Schuurmans Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. 2011 AAAI https://doi.org/10.1609/aaai.v25i1.7935 conf/aaai/2011 db/conf/aaai/aaai2011.html#ZhangYWHS11 567-573 Yuxi Li Dale Schuurmans MapReduce for Parallel Reinforcement Learning. 309-320 2011 EWRL https://doi.org/10.1007/978-3-642-29946-9_30 conf/ewrl/2011 db/conf/ewrl/ewrl2011.html#LiS11 Wenye Li 0001 Dale Schuurmans Modular Community Detection in Networks. 1366-1371 2011 IJCAI https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-231 conf/ijcai/2011 db/conf/ijcai/ijcai2011.html#LiS11 Yaoliang Yu Dale Schuurmans Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering. 778-785 2011 UAI https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=2187&proceeding_id=27 conf/uai/2011 db/conf/uai/uai2011.html#YuS11 Yi Shi 0005 Maryam Hasan Zhipeng Cai 0001 Guohui Lin Dale Schuurmans Linear Coherent Bi-cluster Discovery via Beam Detection and Sample Set Clustering. 85-103 2010 COCOA (1) https://doi.org/10.1007/978-3-642-17458-2_9 conf/cocoa/2010-1 db/conf/cocoa/cocoa2010-1.html#ShiHCLS10 Shane Bergsma Dekang Lin Dale Schuurmans Improved Natural Language Learning via Variance-Regularization Support Vector Machines. 172-181 2010 CoNLL https://aclanthology.org/W10-2921/ conf/conll/2010 db/conf/conll/conll2010.html#BergsmaLS10 Novi Quadrianto Dale Schuurmans Alexander J. Smola Distributed Flow Algorithms for Scalable Similarity Visualization. 1220-1227 2010 ICDM Workshops https://doi.org/10.1109/ICDMW.2010.120 https://doi.ieeecomputersociety.org/10.1109/ICDMW.2010.120 conf/icdm/2010w db/conf/icdm/icdmw2010.html#QuadriantoSS10 Yaoliang Yu Min Yang Linli Xu Martha White Dale Schuurmans Relaxed Clipping: A Global Training Method for Robust Regression and Classification. 2532-2540 2010 NIPS https://proceedings.neurips.cc/paper/2010/hash/01882513d5fa7c329e940dda99b12147-Abstract.html http://papers.nips.cc/paper/3936-relaxed-clipping-a-global-training-method-for-robust-regression-and-classification conf/nips/2010 db/conf/nips/nips2010.html#YuYXWS10 Qin Iris Wang Dale Schuurmans Dekang Lin Strictly Lexicalised Dependency Parsing. 105-120 2010 Trends in Parsing Technology https://doi.org/10.1007/978-90-481-9352-3_7 books/daglib/0032680 db/books/collections/BMN2010.html#WangSL10 Yuhong Guo Dale Schuurmans A Reformulation of Support Vector Machines for General Confidence Functions. 109-119 2009 ACML https://doi.org/10.1007/978-3-642-05224-8_10 conf/acml/2009 db/conf/acml/acml2009.html#GuoS09 Yuxi Li Li Cheng 0001 Dale Schuurmans Inference of the structural credit risk model using MLE. 8-13 2009 CIFEr https://doi.org/10.1109/CIFER.2009.4937496 conf/cifer/2009 db/conf/cifer/cifer2009.html#LiCS09 Yi Shi 0005 Zhipeng Cai 0001 Guohui Lin Dale Schuurmans Linear Coherent Bi-cluster Discovery via Line Detection and Sample Majority Voting. 73-84 2009 COCOA https://doi.org/10.1007/978-3-642-02026-1_7 conf/cocoa/2009 db/conf/cocoa/cocoa2009.html#ShiCLS09 Linli Xu Wenye Li 0001 Dale Schuurmans Fast normalized cut with linear constraints. 2866-2873 2009 CVPR https://doi.org/10.1109/CVPR.2009.5206561 https://doi.org/10.1109/CVPRW.2009.5206561 https://doi.ieeecomputersociety.org/10.1109/CVPR.2009.5206561 conf/cvpr/2009 db/conf/cvpr/cvpr2009.html#XuLS09 Qinfeng Shi Luping Zhou Li Cheng 0001 Dale Schuurmans Discriminative Maximum Margin Image Object Categorization with Exact Inference. 232-237 2009 ICIG https://doi.org/10.1109/ICIG.2009.162 https://doi.ieeecomputersociety.org/10.1109/ICIG.2009.162 conf/icig/2009 db/conf/icig/icig2009.html#ShiZCS09 Linli Xu Martha White Dale Schuurmans Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning. 1137-1144 2009 ICML https://doi.org/10.1145/1553374.1553519 conf/icml/2009 db/conf/icml/icml2009.html#XuWS09 Novi Quadrianto Tibério S. Caetano John Lim Dale Schuurmans Convex Relaxation of Mixture Regression with Efficient Algorithms. 1491-1499 2009 NIPS https://proceedings.neurips.cc/paper/2009/hash/7250eb93b3c18cc9daa29cf58af7a004-Abstract.html http://papers.nips.cc/paper/3822-convex-relaxation-of-mixture-regression-with-efficient-algorithms conf/nips/2009 db/conf/nips/nips2009.html#QuadriantoCLS09 Yaoliang Yu Yuxi Li Dale Schuurmans Csaba Szepesvári A General Projection Property for Distribution Families. 2232-2240 2009 NIPS https://proceedings.neurips.cc/paper/2009/hash/a684eceee76fc522773286a895bc8436-Abstract.html http://papers.nips.cc/paper/3811-a-general-projection-property-for-distribution-families conf/nips/2009 db/conf/nips/nips2009.html#YuLSS09 Yuxi Li Csaba Szepesvári Dale Schuurmans Learning Exercise Policies for American Options. 352-359 AISTATS 2009 conf/aistats/2009 http://proceedings.mlr.press/v5/li09d.html db/journals/jmlr/jmlrp5.html#LiSS09 Min Yang Yuxi Li Dale Schuurmans Dual Temporal Difference Learning. 631-638 AISTATS 2009 conf/aistats/2009 http://proceedings.mlr.press/v5/yang09a.html db/journals/jmlr/jmlrp5.html#YangLS09 Daphne Koller Dale Schuurmans Yoshua Bengio Léon Bottou Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008 NIPS Curran Associates, Inc. 2009 https://proceedings.neurips.cc/paper/2008 http://papers.nips.cc/book/advances-in-neural-information-processing-systems-21-2008 db/conf/nips/nips2008.html Yoshua Bengio Dale Schuurmans John D. Lafferty Christopher K. I. Williams Aron Culotta Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. 2009 NIPS 9781615679119 Curran Associates, Inc. https://proceedings.neurips.cc/paper/2009 http://papers.nips.cc/book/advances-in-neural-information-processing-systems-22-2009 db/conf/nips/nips2009.html Qin Iris Wang Dale Schuurmans Dekang Lin Semi-Supervised Convex Training for Dependency Parsing. 532-540 2008 ACL https://aclanthology.org/P08-1061/ conf/acl/2008 db/conf/acl/acl2008.html#WangSL08 Yuhong Guo Dale Schuurmans Efficient global optimization for exponential family PCA and low-rank matrix factorization. 1100-1107 2008 Allerton https://doi.org/10.1109/ALLERTON.2008.4797683 conf/allerton/2008 db/conf/allerton/allerton2008.html#GuoS08 Yuxi Li Dale Schuurmans Policy Iteration for Learning an Exercise Policy for American Options. 165-178 2008 EWRL https://doi.org/10.1007/978-3-540-89722-4_13 conf/ewrl/2008 db/conf/ewrl/ewrl2008.html#LiS08 Daniel J. Lizotte Tao Wang Michael H. Bowling Dale Schuurmans Automatic Gait Optimization with Gaussian Process Regression. 944-949 2007 conf/ijcai/2007 IJCAI http://ijcai.org/Proceedings/07/Papers/152.pdf db/conf/ijcai/ijcai2007.html#LizotteWBS07 Qin Iris Wang Dekang Lin Dale Schuurmans Simple Training of Dependency Parsers via Structured Boosting. 1756-1762 2007 conf/ijcai/2007 IJCAI http://ijcai.org/Proceedings/07/Papers/284.pdf db/conf/ijcai/ijcai2007.html#WangLS07 Yuhong Guo Dale Schuurmans Discriminative Batch Mode Active Learning. 2007 NIPS https://proceedings.neurips.cc/paper/2007/hash/ccc0aa1b81bf81e16c676ddb977c5881-Abstract.html http://papers.nips.cc/paper/3295-discriminative-batch-mode-active-learning conf/nips/2007 db/conf/nips/nips2007.html#GuoS07 593-600 Yuhong Guo Dale Schuurmans Convex Relaxations of Latent Variable Training. 2007 NIPS https://proceedings.neurips.cc/paper/2007/hash/4ea83d951990d8bf07a68ec3e50f9156-Abstract.html http://papers.nips.cc/paper/3257-convex-relaxations-of-latent-variable-training conf/nips/2007 db/conf/nips/nips2007.html#GuoS07a 601-608 Tao Wang Daniel J. Lizotte Michael H. Bowling Dale Schuurmans Stable Dual Dynamic Programming. 2007 NIPS https://proceedings.neurips.cc/paper/2007/hash/069d3bb002acd8d7dd095917f9efe4cb-Abstract.html http://papers.nips.cc/paper/3179-stable-dual-dynamic-programming conf/nips/2007 db/conf/nips/nips2007.html#WangLBS07 1569-1576 Yuhong Guo Dale Schuurmans Learning Gene Regulatory Networks via Globally Regularized Risk Minimization. 83-95 2007 conf/recomb/2007cg RECOMB-CG https://doi.org/10.1007/978-3-540-74960-8_7 db/conf/recomb/recomb-cg2007.html#GuoS07

Craig Boutilier Relu Patrascu Pascal Poupart Dale Schuurmans Constraint-based optimization and utility elicitation using the minimax decision criterion. 686-713 2006 170 Artif. Intell. 8-9 https://doi.org/10.1016/j.artint.2006.02.003 db/journals/ai/ai170.html#BoutilierPPS06

Tibério S. Caetano Terry Caelli Dale Schuurmans Dante Augusto Couto Barone Graphical Models and Point Pattern Matching. 1646-1663 2006 28 IEEE Trans. Pattern Anal. Mach. Intell. 10 https://doi.org/10.1109/TPAMI.2006.207 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.207 https://www.wikidata.org/entity/Q51933063 db/journals/pami/pami28.html#CaetanoCSB06

Linli Xu Koby Crammer Dale Schuurmans Robust Support Vector Machine Training via Convex Outlier Ablation. 2006 conf/aaai/2006 AAAI db/conf/aaai/aaai2006.html#XuCS06 http://www.aaai.org/Library/AAAI/2006/aaai06-086.php 536-542 Tao Wang Pascal Poupart Michael H. Bowling Dale Schuurmans Compact, Convex Upper Bound Iteration for Approximate POMDP Planning. 2006 conf/aaai/2006 AAAI db/conf/aaai/aaai2006.html#WangPBS06 http://www.aaai.org/Library/AAAI/2006/aaai06-195.php 1245-1252 Feng Jiao Shaojun Wang Chi-Hoon Lee Russell Greiner Dale Schuurmans Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. 2006 conf/acl/2006 ACL https://aclanthology.org/P06-1027/ https://doi.org/10.3115/1220175.1220202 db/conf/acl/acl2006.html#JiaoWLGS06 Li Cheng 0001 Shaojun Wang Dale Schuurmans Terry Caelli S. V. N. Vishwanathan An Online Discriminative Approach to Background Subtraction. 2 2006 conf/avss/2006 AVSS https://doi.org/10.1109/AVSS.2006.22 https://doi.ieeecomputersociety.org/10.1109/AVSS.2006.22 db/conf/avss/avss2006.html#ChengWSCV06 Qin Iris Wang Colin Cherry Daniel J. Lizotte Dale Schuurmans Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization. 21-28 2006 CoNLL https://aclanthology.org/W06-2904/ conf/conll/2006 db/conf/conll/conll2006.html#WangCLS06 Shaojun Wang Shaomin Wang Li Cheng 0001 Russell Greiner Dale Schuurmans Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model. 97-111 2006 conf/icgi/2006 ICGI https://doi.org/10.1007/11872436_9 db/conf/icgi/icgi2006.html#WangWCGS06 Linli Xu Dana F. Wilkinson Finnegan Southey Dale Schuurmans Discriminative unsupervised learning of structured predictors. 1057-1064 2006 conf/icml/2006 ICML https://doi.org/10.1145/1143844.1143977 db/conf/icml/icml2006.html#XuWSS06 Li Cheng 0001 S. V. N. Vishwanathan Dale Schuurmans Shaojun Wang Terry Caelli implicit Online Learning with Kernels. 249-256 2006 conf/nips/2006 NIPS https://proceedings.neurips.cc/paper/2006/hash/a92c274b8be496fb05d95033552eeddd-Abstract.html http://papers.nips.cc/paper/3038-implicit-online-learning-with-kernels db/conf/nips/nips2006.html#ChengVSWC06 Chi-Hoon Lee Shaojun Wang Feng Jiao Dale Schuurmans Russell Greiner Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. 793-800 2006 conf/nips/2006 NIPS https://proceedings.neurips.cc/paper/2006/hash/a0ba2648acd23dc7a5829968ce531a7d-Abstract.html http://papers.nips.cc/paper/3029-learning-to-model-spatial-dependency-semi-supervised-discriminative-random-fields db/conf/nips/nips2006.html#LeeWJSG06 Jiayuan Huang Tingshao Zhu Dale Schuurmans Web Communities Identification from Random Walks. 187-198 2006 conf/pkdd/2006 PKDD https://doi.org/10.1007/11871637_21 db/conf/pkdd/pkdd2006.html#HuangZS06 Jiayuan Huang Tingshao Zhu Russell Greiner Dengyong Zhou Dale Schuurmans Information Marginalization on Subgraphs. 199-210 2006 conf/pkdd/2006 PKDD https://doi.org/10.1007/11871637_22 db/conf/pkdd/pkdd2006.html#HuangZGZS06 Yuhong Guo Dale Schuurmans Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. 2006 conf/uai/2006 UAI https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=1273&proceeding_id=22 db/conf/uai/uai2006.html#GuoS06 Dale Schuurmans Finnegan Southey Dana F. Wilkinson Yuhong Guo Metric-Based Approaches for Semi-Supervised Regression and Classification. 420-451 2006 Semi-Supervised Learning https://doi.org/10.7551/mitpress/9780262033589.003.0023 books/mit/06/CSZ2006 db/books/collections/CSZ2006.html#SchuurmansSWG06

Shaojun Wang Dale Schuurmans Fuchun Peng Yunxin Zhao Combining Statistical Language Models via the Latent Maximum Entropy Principle. 229-250 2005 60 Mach. Learn. 1-3 https://doi.org/10.1007/s10994-005-0928-7 db/journals/ml/ml60.html#WangSPZ05

Linli Xu Dale Schuurmans Unsupervised and Semi-Supervised Multi-Class Support Vector Machines. 904-910 2005 conf/aaai/2005 AAAI db/conf/aaai/aaai2005.html#XuS05 http://www.aaai.org/Library/AAAI/2005/aaai05-143.php Ali Ghodsi 0001 Jiayuan Huang Finnegan Southey Dale Schuurmans Tangent-Corrected Embedding. 518-525 2005 conf/cvpr/2005 CVPR (1) https://doi.org/10.1109/CVPR.2005.339 https://doi.ieeecomputersociety.org/10.1109/CVPR.2005.339 db/conf/cvpr/cvpr2005.html#GhodsiHSS05 Li Cheng 0001 Feng Jiao Dale Schuurmans Shaojun Wang Variational Bayesian image modelling. 129-136 2005 conf/icml/2005 ICML https://doi.org/10.1145/1102351.1102368 db/conf/icml/icml2005.html#ChengJSW05 Shaojun Wang Shaomin Wang Russell Greiner Dale Schuurmans Li Cheng 0001 Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. 948-955 2005 conf/icml/2005 ICML https://doi.org/10.1145/1102351.1102471 db/conf/icml/icml2005.html#WangWGSC05 Tao Wang Daniel J. Lizotte Michael H. Bowling Dale Schuurmans Bayesian sparse sampling for on-line reward optimization. 956-963 2005 conf/icml/2005 ICML https://doi.org/10.1145/1102351.1102472 db/conf/icml/icml2005.html#WangLBS05 Yuhong Guo Russell Greiner Dale Schuurmans Learning Coordination Classifiers. 714-721 2005 conf/ijcai/2005 IJCAI http://ijcai.org/Proceedings/05/Papers/1585.pdf db/conf/ijcai/ijcai2005.html#GuoGS05 Craig Boutilier Relu Patrascu Pascal Poupart Dale Schuurmans Regret-based Utility Elicitation in Constraint-based Decision Problems. 929-934 2005 conf/ijcai/2005 IJCAI http://ijcai.org/Proceedings/05/Papers/0398.pdf db/conf/ijcai/ijcai2005.html#BoutilierPPS05 Qin Iris Wang Dale Schuurmans Dekang Lin Strictly Lexical Dependency Parsing. 152-159 2005 IWPT https://aclanthology.org/W05-1516/ conf/iwpt/2005 db/conf/iwpt/iwpt2005.html#WangSL05 Yuhong Guo Dana F. Wilkinson Dale Schuurmans Maximum Margin Bayesian Networks. 233-242 2005 conf/uai/2005 UAI https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=1178&proceeding_id=21 db/conf/uai/uai2005.html#GuoWS05

Fuchun Peng Dale Schuurmans Shaojun Wang Augmenting Naive Bayes Classifiers with Statistical Language Models. 317-345 2004 7 Inf. Retr. 3-4 db/journals/ir/ir7.html#PengSW04 https://doi.org/10.1023/B:INRT.0000011209.19643.e2

Xiangji Huang 0001 Fuchun Peng Aijun An Dale Schuurmans Dynamic Web log session identification with statistical language models. 1290-1303 2004 55 J. Assoc. Inf. Sci. Technol. 14 https://doi.org/10.1002/asi.20084 db/journals/jasis/jasis55.html#HuangPAS04

Shaojun Wang Dale Schuurmans Fuchun Peng Yunxin Zhao Learning mixture models with the regularized latent maximum entropy principle. 903-916 2004 15 IEEE Trans. Neural Networks 4 https://doi.org/10.1109/TNN.2004.828755 https://www.wikidata.org/entity/Q51987610 db/journals/tnn/tnn15.html#WangSPZ04

Ali Ghodsi 0001 Jiayuan Huang Dale Schuurmans Transformation-Invariant Embedding for Image Analysis. 519-530 https://doi.org/10.1007/978-3-540-24673-2_42 2004 conf/eccv/2004-4 ECCV (4) db/conf/eccv/eccv2004-4.html#GhodsiHS04 Shaojun Wang Shaomin Wang Russell Greiner Dale Schuurmans Li Cheng 0001 Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. 305-308 2004 ISCSLP https://doi.org/10.1109/CHINSL.2004.1409647 https://www.isca-archive.org/iscslp_2004/wang04e_iscslp.html conf/iscslp/2004 db/conf/iscslp/iscslp2004.html#KangWGSC04 Linli Xu James Neufeld Bryce Larson Dale Schuurmans Maximum Margin Clustering. 2004 conf/nips/2004 NIPS https://proceedings.neurips.cc/paper/2004/hash/6403675579f6114559c90de0014cd3d6-Abstract.html http://papers.nips.cc/paper/2602-maximum-margin-clustering db/conf/nips/nips2004.html#XuNLS04 1537-1544

Xiangji Huang 0001 Fuchun Peng Dale Schuurmans Nick Cercone Stephen E. Robertson Applying Machine Learning to Text Segmentation for Information Retrieval. 333-362 2003 6 Inf. Retr. 3-4 db/journals/ir/ir6.html#HuangPSCR03 https://doi.org/10.1023/A:1026028229881

Ali Ghodsi 0001 Dale Schuurmans Automatic basis selection techniques for RBF networks. 809-816 2003 16 Neural Networks 5-6 https://doi.org/10.1016/S0893-6080(03)00118-7 https://www.wikidata.org/entity/Q47774488 db/journals/nn/nn16.html#GhodsiS03

Xiangji Huang 0001 Fuchun Peng Aijun An Dale Schuurmans Nick Cercone Session Boundary Detection for Association Rule Learning Using n-Gram Language Models. 237-251 2003 conf/ai/2003 AI https://doi.org/10.1007/3-540-44886-1_19 db/conf/ai/ai2003.html#HuangPASC03 Fletcher Lu Dale Schuurmans Model-Based Least-Squares Policy Evaluation. 342-352 2003 conf/ai/2003 AI https://doi.org/10.1007/3-540-44886-1_26 db/conf/ai/ai2003.html#LuS03 Shaojun Wang Dale Schuurmans Fuchun Peng Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. 2003 AISTATS https://proceedings.mlr.press/r4/wang03a.html conf/aistats/2003 db/conf/aistats/aistats2003.html#WangSP03 316-322 Shaojun Wang Dale Schuurmans Learning Continuous Latent Variable Models with Bregman Divergences. 190-204 https://doi.org/10.1007/978-3-540-39624-6_16 2003 conf/alt/2003 ALT db/conf/alt/alt2003.html#WangS03 Craig Boutilier Relu Patrascu Pascal Poupart Dale Schuurmans Constraint-Based Optimization with the Minimax Decision Criterion. 168-182 https://doi.org/10.1007/978-3-540-45193-8_12 2003 conf/cp/2003 CP db/conf/cp/cp2003.html#BoutilierPPS03 Feng Jiao Stan Z. Li Heung-Yeung Shum Dale Schuurmans Face Alignment Using Statistical Models and Wavelet Features. 321-327 2003 conf/cvpr/2003 CVPR (1) https://doi.org/10.1109/CVPR.2003.1211370 https://doi.ieeecomputersociety.org/10.1109/CVPR.2003.1211370 db/conf/cvpr/cvpr2003.html#JiaoLSS03 Fuchun Peng Dale Schuurmans Vlado Keselj Shaojun Wang Language Independent Authorship Attribution with Character Level N-Grams. 267-274 2003 conf/eacl/2003 EACL https://aclanthology.org/E03-1053/ db/conf/eacl/eacl2003.html#PengSKW03 Fuchun Peng Dale Schuurmans Combining Naive Bayes and n-Gram Language Models for Text Classification. 335-350 2003 conf/ecir/2003 ECIR https://doi.org/10.1007/3-540-36618-0_24 db/conf/ecir/ecir2003.html#PengS03 Shaojun Wang Dale Schuurmans Fuchun Peng Yunxin Zhao Semantic n-gram language modeling with the latent maximum entropy principle. 376-379 2003 ICASSP (1) https://doi.org/10.1109/ICASSP.2003.1198796 conf/icassp/2003 db/conf/icassp/icassp2003.html#WangSPZ03 Shaojun Wang Dale Schuurmans Fuchun Peng Yunxin Zhao Learning Mixture Models with the Latent Maximum Entropy Principle. 784-791 2003 conf/icml/2003 ICML db/conf/icml/icml2003.html#WangSPZ03 http://www.aaai.org/Library/ICML/2003/icml03-102.php Ali Ghodsi 0001 Dale Schuurmans Automatic basis selection for RBF networks using Stein's unbiased risk estimator. 91-95 2003 IJCNN https://doi.org/10.1109/IJCNN.2003.1223303 conf/ijcnn/2003 db/conf/ijcnn/ijcnn2003.html#GhodsiS03 streams/conf/ijcnn Fuchun Peng Xiangji Huang 0001 Dale Schuurmans Shaojun Wang Text classification in Asian languages without word segmentation. 41-48 2003 conf/iral/2003 IRAL https://dl.acm.org/citation.cfm?id=1118941 db/conf/iral/iral2003.html#PengHSW03 Fuchun Peng Dale Schuurmans Shaojun Wang Language and Task Independent Text Categorization with Simple Language Models. 2003 conf/naacl/2003 HLT-NAACL https://aclanthology.org/N03-1025/ db/conf/naacl/naacl2003.html#PengSW03 Fletcher Lu Dale Schuurmans Monte Carlo Matrix Inversion Policy Evaluation. 386-393 2003 conf/uai/2003 UAI db/conf/uai/uai2003.html#LuS03 https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=953&proceeding_id=19 Shaojun Wang Dale Schuurmans Fuchun Peng Yunxin Zhao Boltzmann Machine Learning with the Latent Maximum Entropy Principle. 567-574 2003 conf/uai/2003 UAI db/conf/uai/uai2003.html#WangSPZ03 https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=975&proceeding_id=19

Yoshua Bengio Dale Schuurmans Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination. 5-7 2002 48 Mach. Learn. 1-3 db/journals/ml/ml48.html#BengioS02 https://doi.org/10.1023/A:1013921901994

Dale Schuurmans Finnegan Southey Metric-Based Methods for Adaptive Model Selection and Regularization. 51-84 2002 48 Mach. Learn. 1-3 db/journals/ml/ml48.html#SchuurmansS02 https://doi.org/10.1023/A:1013947519741

Gal Elidan Matan Ninio Nir Friedman Dale Schuurmans Data Perturbation for Escaping Local Maxima in Learning. 132-139 2002 conf/aaai/2002 AAAI/IAAI db/conf/aaai/aaai2002.html#ElidanNFS02 http://www.aaai.org/Library/AAAI/2002/aaai02-021.php Relu Patrascu Pascal Poupart Dale Schuurmans Craig Boutilier Carlos Guestrin Greedy Linear Value-Approximation for Factored Markov Decision Processes. 285-291 2002 conf/aaai/2002 AAAI/IAAI db/conf/aaai/aaai2002.html#PatrascuPSBG02 http://www.aaai.org/Library/AAAI/2002/aaai02-044.php Pascal Poupart Craig Boutilier Relu Patrascu Dale Schuurmans Piecewise Linear Value Function Approximation for Factored MDPs. 292-299 2002 conf/aaai/2002 AAAI/IAAI db/conf/aaai/aaai2002.html#PoupartBPS02 http://www.aaai.org/Library/AAAI/2002/aaai02-045.php Fuchun Peng Xiangji Huang 0001 Dale Schuurmans Nick Cercone Investigating the Relationship between Word Segmentation Performance and Retrieval Performance in Chinese IR. 2002 conf/coling/2002 COLING https://aclanthology.org/C02-1148/ db/conf/coling/coling2002.html#PengHSC02 Carlos Guestrin Relu Patrascu Dale Schuurmans Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs. 235-242 2002 conf/icml/2002 ICML db/conf/icml/icml2002.html#GuestrinPS02 Fletcher Lu Relu Patrascu Dale Schuurmans Investigating the Maximum Likelihood Alternative to TD(lambda). 403-410 2002 conf/icml/2002 ICML db/conf/icml/icml2002.html#LuPS02 Finnegan Southey Dale Schuurmans Ali Ghodsi 0001 Regularized Greedy Importance Sampling. 753-760 2002 conf/nips/2002 NIPS https://proceedings.neurips.cc/paper/2002/hash/71560ce98c8250ce57a6a970c9991a5f-Abstract.html http://papers.nips.cc/paper/2191-regularized-greedy-importance-sampling db/conf/nips/nips2002.html#SoutheySG02 Xiangji Huang 0001 Fuchun Peng Dale Schuurmans Nick Cercone Waterloo at NTCIR-3: Using Self-supervised Word Segmentation. 2002 NTCIR http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings3/NTCIR3-CLIR-HuangX.pdf conf/ntcir/2002 db/conf/ntcir/ntcir2002.html#HuangPSC02 Fuchun Peng Xiangji Huang 0001 Dale Schuurmans Nick Cercone Stephen E. Robertson Using self-supervised word segmentation in Chinese information retrieval. 349-350 2002 conf/sigir/2002 SIGIR https://doi.org/10.1145/564376.564438 db/conf/sigir/sigir2002.html#PengHSCR02

Dale Schuurmans Finnegan Southey Local search characteristics of incomplete SAT procedures. 121-150 2001 132 Artif. Intell. 2 db/journals/ai/ai132.html#SchuurmansS01 https://doi.org/10.1016/S0004-3702(01)00151-5

Adam J. Grove Nick Littlestone Dale Schuurmans General Convergence Results for Linear Discriminant Updates. 173-210 2001 43 Mach. Learn. 3 db/journals/ml/ml43.html#GroveLS01 https://doi.org/10.1023/A:1010844028087

Fuchun Peng Dale Schuurmans Self-Supervised Chinese Word Segmentation. 238-247 2001 conf/ida/2001 IDA https://doi.org/10.1007/3-540-44816-0_24 db/conf/ida/ida2001.html#PengS01 Dale Schuurmans Finnegan Southey Robert C. Holte The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming. 334-341 2001 conf/ijcai/2001 IJCAI db/conf/ijcai/ijcai2001.html#SchuurmansSH01 Dale Schuurmans Relu Patrascu Direct value-approximation for factored MDPs. 1579-1586 2001 conf/nips/2001 NIPS https://proceedings.neurips.cc/paper/2001/hash/b3b4d2dbedc99fe843fd3dedb02f086f-Abstract.html http://papers.nips.cc/paper/1981-direct-value-approximation-for-factored-mdps db/conf/nips/nips2001.html#SchuurmansP01 Fuchun Peng Dale Schuurmans A Simple Closed-Class/Open-Class Factorization for Improved Language Modeling. 145-152 2001 conf/nlprs/2001 NLPRS http://www.afnlp.org/nlprs2001/pdf/0099-03.pdf db/conf/nlprs/nlprs2001.html#PengS01 Fuchun Peng Dale Schuurmans A Hierarchical EM Approach to Word Segmentation. 475-480 2001 conf/nlprs/2001 NLPRS http://www.afnlp.org/nlprs2001/pdf/0045-01.pdf db/conf/nlprs/nlprs2001.html#PengS01a Dale Schuurmans Finnegan Southey Local Search Characteristics of Incomplete SAT Procedures. 297-302 2000 conf/aaai/2000 AAAI/IAAI db/conf/aaai/aaai2000.html#SchuurmansS00 http://www.aaai.org/Library/AAAI/2000/aaai00-046.php Dale Schuurmans Finnegan Southey An Adaptive Regularization Criterion for Supervised Learning. 847-854 2000 conf/icml/2000 ICML db/conf/icml/icml2000.html#SchuurmansS00 Dale Schuurmans Finnegan Southey Monte Carlo inference via greedy importance sampling. 523-532 2000 conf/uai/2000 UAI https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=61&proceeding_id=16 db/conf/uai/uai2000.html#SchuurmansS00 Dale Schuurmans Lloyd G. Greenwald Efficient exploration for optimizing immediate reward. 385-392 1999 conf/aaai/1999 AAAI/IAAI db/conf/aaai/aaai99.html#SchuurmansG99 http://www.aaai.org/Library/AAAI/1999/aaai99-056.php Dale Schuurmans Greedy Importance Sampling. 596-602 http://papers.nips.cc/paper/1691-greedy-importance-sampling http://nips.djvuzone.org/djvu/nips12/0596.djvu 1999 conf/nips/1999 NIPS db/conf/nips/nips1999.html#Schuurmans99 Adam J. Grove Dale Schuurmans Boosting in the Limit: Maximizing the Margin of Learned Ensembles. 692-699 1998 conf/aaai/1998 AAAI/IAAI db/conf/aaai/aaai98.html#GroveS98 http://www.aaai.org/Library/AAAI/1998/aaai98-098.php

Dale Schuurmans Characterizing Rational Versus Exponential learning Curves. 140-160 1997 55 J. Comput. Syst. Sci. 1 db/journals/jcss/jcss55.html#Schuurmans97 https://doi.org/10.1006/jcss.1997.1505

Dale Schuurmans A New Metric-Based Approach to Model Selection. 552-558 1997 conf/aaai/1997 AAAI/IAAI db/conf/aaai/aaai97.html#Schuurmans97 http://www.aaai.org/Library/AAAI/1997/aaai97-086.php Adam J. Grove Nick Littlestone Dale Schuurmans General Convergence Results for Linear Discriminant Updates. 171-183 1997 conf/colt/1997 COLT https://doi.org/10.1145/267460.267493 db/conf/colt/colt1997.html#GroveLS97 Dale Schuurmans Lyle H. Ungar Dean P. Foster Characterizing the generalization performance of model selection strategies. 340-348 1997 conf/icml/1997 ICML db/conf/icml/icml1997.html#SchuurmansUF97 Russell Greiner Adam J. Grove Dale Schuurmans Learning Bayesian Nets that Perform Well. 198-207 1997 conf/uai/1997 UAI https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=312&proceeding_id=13 db/conf/uai/uai1997.html#GreinerGS97 Dale Schuurmans Effective classification learning. University of Toronto, Canada 1996 https://librarysearch.library.utoronto.ca/permalink/01UTORONTO_INST/14bjeso/alma991106392961906196 Dale Schuurmans Russell Greiner Sequential PAC Learning. 377-384 1995 conf/colt/1995 COLT https://doi.org/10.1145/225298.225344 db/conf/colt/colt1995.html#SchuurmansG95 Dale Schuurmans Characterizing rational versus exponential learning curves. 272-286 1995 conf/eurocolt/1995 EuroCOLT db/conf/eurocolt/eurocolt1995.html#Schuurmans95 https://doi.org/10.1007/3-540-59119-2_184 Dale Schuurmans Russell Greiner Practical PAC Learning. 1169-1177 1995 conf/ijcai/1995 IJCAI db/conf/ijcai/ijcai95.html#SchuurmansG95 http://ijcai.org/Proceedings/95-2/Papers/020.pdf Russell Greiner Dale Schuurmans Learning an Optimally Accurate Representation System. 145-159 1992 conf/ecai/1992w1 ECAI Workshop on Knowledge Representation and Reasoning db/conf/ecai/ecai1992w1.html#GreinerS92 https://doi.org/10.1007/3-540-58107-3_9 Russell Greiner Dale Schuurmans Learning Useful Horn Approximations. 383-392 1992 conf/kr/1992 KR db/conf/kr/kr92.html#GreinerS92 Dale Schuurmans Jonathan Schaeffer 0001 Representational Difficulties with Classifier Systems. 328-333 1989 conf/icga/1989 ICGA db/conf/icga/icga1989.html#SchuurmansS89 Yasin Abbasi-Yadkori Pieter Abbeel Derek Abbott Karim T. Abou-Moustafa Alekh Agarwal Rishabh Agarwal Matin Aghaei Zafarali Ahmed Ekin Akyürek Aijun An Jacob Andreas Kavosh Asadi Özlem Aslan Muratahan Aykol Alex Ayoub Alireza Baktiari Shumeet Baluja Dante Augusto Couto Barone André Barreto 0001 Simon L. Batzner Marc G. Bellemare Samy Bengio Yoshua Bengio Shane Bergsma Bernd Bohnet Michal Bortkiewicz Maarten Bosma Léon Bottou Olivier Bousquet Craig Boutilier Karim Bouyarmane Michael H. BowlingMichael Bowling Matt Brearley Jake Bruce Terry Caelli Tibério S. Caetano Zhipeng Cai 0001 Pablo Samuel Castro Shicong Cen Nick Cercone Bryan Chan Fengdi Che Chen Chen Minmin Chen Xinyi Chen Xinyun Chen Zhifeng Chen Hao Cheng 0002 Li Cheng 0001 Colin Cherry Ed H. Chi Yuejie Chi KwangHwan Cho Yinlam Chow Aakanksha Chowdhery Tianzhe Chu Wesley Chung Alon Cohen Koby Crammer Ekin Dogus CubukEkin D. Cubuk Claire Cui Aron Culotta Will Dabney Robert Dadashi Bo Dai 0001 Hanjun Dai Zihang Dai Amit Daniely Alex Davies Masood Dehghan Nan Ding 0002 Laurent Dinh Yilun Du Daniel Duckworth Douglas Eck Mohamed Elgendi Gal Elidan Stefano Ermon Xinjie Fan Mehrdad Farajtabar Aleksandra Faust Frank P. Ferrie Noah Fiedel Ian Fischer Rich FletcherRichard Ribón Fletcher Dean P. Foster Nir Friedman Hiroki Furuta Chenxiao Gao Ruiqi Gao Yue Gao Alexander L. Gaunt Seyed Kamyar Seyed GhasemipourKamyar Ghasemipour Mohammad Ghavamzadeh Sina Ghiassian Ali Ghodsi 0001 Minglun Gong Joseph Gonzalez 0001Joseph E. Gonzalez Dilan Görür Katayoon Goshvadi Palash Goyal Will Grathwohl Lloyd G. Greenwald Russell Greiner Arthur Gretton Adam J. Grove Aditya Grover Shixiang GuShixiang Shane Gu Carlos Guestrin Ramki Gummadi Yuhong Guo Zhaohan GuoZhaohan Daniel Guo Dhawal Gupta András György 0001 Botao Hao Chris Harris 0001Christopher K. Harris Maryam Hasan Avinatan Hassidim Niao He Robert C. Holte Le Hou Chengyu Huang Jiayuan Huang Jimmy Huang 0001Xiangji Huang 0001 Ruitong Huang Brian Ichter Martin Jägersand Navdeep Jaitly Natasha Jaques Feng Jiao Jun Jin 0001 Leslie Pack Kaelbling Surya Kanoria Murat Kantarcioglu Mahdi Karami Vlado Keselj J. Chase Kew Khimya Khetarpal Jamie KirosRyan Kiros Johannes Kirschner Daphne Koller Ilya Kostrikov Saurabh Kumar 0004 John D. Lafferty Zhen-Zhong LanZhenzhong Lan Bryce Larson Tor Lattimore Miguel Lázaro-Gredilla Nevena Lazic Quoc V. LeQuoc Le 0001 Chihoon LeeChi-Hoon Lee Dennis Lee 0003 Ilbin Lee Kuang-Huei Lee Lisa Lee Jure Leskovec Nir Levine Sergey Levine Alex Lewandowski Guowang Li Lihong Li 0001 Na Li 0002 Stan Z. Li Wenye Li 0001 Xiaowei Li 0003 Xin Li 0013 Yujia Li Yuxi Li Zhuohang Li Chen Liang Percy Liang Xiaoping Liao John Lim Dekang Lin Guohui Lin Max Qiushi Lin Nick Littlestone Qiang Liu 0001 Xingchao Liu Zhen Liu 0019 Daniel J. Lizotte Nigel H. Lovell Fletcher Lu Michael Lu Tyler Lu Jun Luo 0009 Clare Lyle Chen Ma Tengyu Ma 0001 Yi Ma 0001 Marlos C. Machado A. Rupam Mahmood Bradley A. Malin Yishay Mansour Dave Marwood Yutaka Matsuo Brendan McMorrow Jincheng Mei Tianjian Meng Amil Merchant Ofer Meshi Edan Meyer Farzaneh Mirzazadeh Martin Mladenov Igor Mordatch Lopamudra Mukherjee Martin Müller 0003 Calarina Muslimani Ofir Nachum Sharan Narang Azade Nazi James Neufeld Matan Ninio Mohammad Norouzi 0002 Ian Norton Azade Nova Jayden Ooi Mateusz Ostaszewski Hamid Palangi Aaron ParisiAaron T. Parisi Jack Parker-Holder Relu Patrascu Fuchun Peng Jiming Peng Phitchaya Mangpo Phothilimthana Bernardo Ávila Pires Barnabás Póczos Pascal Poupart Novi Quadrianto Anant Raj Adtiya A. Ramesh Oscar RamirezOscar A. Ramirez Siamak Ravanbakhsh Hongyu Ren Tongzheng Ren Danilo Jimenez RezendeDanilo J. Rezende Stephen E. Robertson Nicolas Le Roux Binz Roy Saber Salehkaleybar Sujay Sanghavi Nathan Scales Jonathan Schaeffer 0001 Nathanael Schärli Jeff G. Schneider Mike Schuster Hanie Sedghi Arsalan Sharifnassab Qinfeng Shi Yi Shi 0005 Harry ShumHeung-Yeung Shum Bruno C. da Silva 0001Bruno Castro da Silva Rishabh Singh Vikas Singh Alexander J. Smola Jascha Sohl-Dickstein Le Song Xiaodan Song Yiwen Song Radu Soricut Finnegan Southey Andy Su DiJia SuDijia Su Haitian Sun Haoran Sun Haotian Sun Charles Sutton Kevin Swersky Zia Syed Csaba Szepesvári David Szepesvari Adrien Ali Taïga Mingxing Tan Haruto Tanaka Jian Tang 0005 Matthew E. Taylor Joshua B. TenenbaumJosh Tenenbaum 0001 Valentin Thomas Jonathan Tompson Shengbang Tong George Tucker Lyle H. Ungar Sharan Vaswani S. V. N. Vishwanathan Jacob C. Walker Xingchen Wan Bethany Wang Qin Iris Wang Shaojun Wang Shaomin Wang Tao Wang Xuezhi Wang 0002 Yixin Wang Zhaoran Wang 0001 Jason Wei Michael P. Wellman Junfeng Wen Zixin Wen Martha White Dana F. Wilkinson Christopher K. I. Williams Yifan Wu Yonghui Wu Yueh-Hua Wu Fei Xia 0002 Chenjun Xiao Wenli Xiao Saining Xie Eric P. Xing Bing Xu Kelvin Xu Linli Xu Yuan Xue 0001 Jihan Yang Min Yang Sherry Yang 0001Mengjiao Yang 0001 Tong Yang 0007 Hengshuai Yao Michihiro Yasunaga Mao Ye 0006 Dong Yin Pengcheng Yin Lijun Yu Yaoliang Yu Francesco Zanini Heiga Zen Yuexiang Zhai Hongming Zhang 0012 Junxi Zhang Ruiyi Zhang Runyu Zhang 0001 Ruqi Zhang Tianjun Zhang Xinhua Zhang Zichen Zhang 0001Zichen Vincent Zhang Xinran Zhao Yunxin Zhao Zixin Zhong Dengyong Zhou Denny Zhou Haomin Zhou 0001 Luping Zhou Paul Zhou Tingshao Zhu Zhaocheng Zhu Martin ZinkevichMartin A. Zinkevich