Disentangling Reasoning in Large Audio-Language Models for Ambiguous Emotion Prediction.

Jean Honorio https://openreview.net/profile?id=~Jean_Honorio1 https://orcid.org/0000-0002-6448-0598

Xiaofeng Yu Jiaheng Dong Jean Honorio Abhirup Ghosh Hong Jia Ting Dang Disentangling Reasoning in Large Audio-Language Models for Ambiguous Emotion Prediction. 2026 March abs/2603.08230 CoRR https://doi.org/10.48550/arXiv.2603.08230 db/journals/corr/corr2603.html#abs-2603-08230 streams/journals/corr

Giacomo Rosa Jean Honorio Nir Lipovetzky Sebastian Sardiña Planning as Goal Recognition: Deriving Heuristics from Intention Models - Extended Version. 2026 March abs/2603.14824 CoRR https://doi.org/10.48550/arXiv.2603.14824 db/journals/corr/corr2603.html#abs-2603-14824 streams/journals/corr

Soyoun Won Aryan Yazdan Parast Basim Azam Jean Honorio Naveed Akhtar Intermediate Text Representation Guided Text-to-Image Generation for Enhancing One-and-Only Alignment. 2026 June abs/2606.30262 CoRR https://doi.org/10.48550/arXiv.2606.30262 db/journals/corr/corr2606.html#abs-2606-30262 streams/journals/corr

Shixiong Wang Haowei Wang Xinke Li Jean Honorio Learning Against Distributional Uncertainty: On the Trade-Off Between Robustness and Specificity. 1420-1435 2025 October 19 IEEE J. Sel. Top. Signal Process. 7 https://doi.org/10.1109/JSTSP.2025.3567002 db/journals/jstsp/jstsp19.html#WangWLH25 streams/journals/jstsp

Chuyang Ke Deepak Maurya Jean Honorio Partial Inference in Structured Prediction. 1-5 2025 ICASSP https://doi.org/10.1109/ICASSP49660.2025.10889640 conf/icassp/2025 db/conf/icassp/icassp2025.html#KeMH25 Deepak Maurya Adarsh Barik Jean Honorio Exact Solutions of the Inner Optimization Problem of Adversarial Robustness. 1-5 2025 ICASSP https://doi.org/10.1109/ICASSP49660.2025.10890709 conf/icassp/2025 db/conf/icassp/icassp2025.html#MauryaBH25 Guo Zeng Jean Honorio A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/26407588dfb08e48c459c074ab6adb7d-Abstract-Conference.html conf/nips/2025 db/conf/nips/neurips2025.html#ZengH25

Wenjie Li Haoze Li Qifan Song Jean Honorio PyXAB - A Python Library for \mathcal{X}-Armed Bandit and Online Blackbox Optimization Algorithms. 6507 2024 9 J. Open Source Softw. 102 https://doi.org/10.21105/joss.06507 db/journals/jossw/jossw9.html#LiLSH24 streams/journals/jossw

Site Bai Chuyang Ke Jean Honorio On the Dual Problem of Convexified Convolutional Neural Networks. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=0yMuNezwJ1 db/journals/tmlr/tmlr2024.html#BaiKH24

Adarsh Barik Jean Honorio Recovering Exact Support in Federated lasso without Optimization. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=JdXzKSyqbH db/journals/tmlr/tmlr2024.html#BarikH24

Chuyang Ke Jean Honorio Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=SSqOqAwpN7 db/journals/tmlr/tmlr2024.html#KeH24

Deepak Maurya Jean Honorio A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=DaDBtnWcy9 db/journals/tmlr/tmlr2024.html#MauryaH24

Huiming Xie Jean Honorio Meta Learning for Support Recovery of High-Dimensional Ising Models. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=n40EWwis1j db/journals/tmlr/tmlr2024.html#XieH24

Wenjie Li Qifan Song Jean Honorio Guang Lin 0001 Federated X-armed Bandit. 13628-13636 2024 AAAI https://doi.org/10.1609/aaai.v38i12.29267 conf/aaai/2024 db/conf/aaai/aaai2024.html#LiSHL24 Wenjie Li Qifan Song Jean Honorio Personalized Federated X-armed Bandit. 37-45 2024 AISTATS https://proceedings.mlr.press/v238/li24a.html conf/aistats/2024 db/conf/aistats/aistats2024.html#LiSH24 Hanbyul Lee 0001 Qifan Song Jean Honorio Support Recovery in Sparse PCA with General Missing Data. 2163-2187 2024 UAI https://proceedings.mlr.press/v244/lee24a.html conf/uai/2024 db/conf/uai/uai2024.html#0001SH24 Vineet Malik Kevin Bello Asish Ghoshal Jean Honorio Identifying Causal Changes Between Linear Structural Equation Models. 2383-2398 2024 UAI https://proceedings.mlr.press/v244/malik24a.html conf/uai/2024 db/conf/uai/uai2024.html#MalikBGH24

Jack Gardiner Lachlan L. H. Andrew Junhao Gan Jean Honorio Seeun William Umboh Optimal bounds on a tree inference algorithm. 2024 abs/2412.03138 CoRR https://doi.org/10.48550/arXiv.2412.03138 db/journals/corr/corr2412.html#abs-2412-03138 streams/journals/corr

Qiuling Xu Guanhong Tao 0001 Jean Honorio Yingqi Liu Shengwei An Guangyu Shen Siyuan Cheng 0005 Xiangyu Zhang 0001 MEDIC: Remove Model Backdoors via Importance Driven Cloning. 20485-20494 2023 CVPR https://doi.org/10.1109/CVPR52729.2023.01962 conf/cvpr/2023 db/conf/cvpr/cvpr2023.html#XuTHLAS0023 Adarsh Barik Jean Honorio Provable Computational and Statistical Guarantees for Efficient Learning of Continuous-Action Graphical Games. 1-5 2023 ICASSP https://doi.org/10.1109/ICASSP49357.2023.10095093 conf/icassp/2023 db/conf/icassp/icassp2023.html#BarikH23 Chuyang Ke Jean Honorio Exact Inference in High-order Structured Prediction. 16152-16167 2023 ICML https://proceedings.mlr.press/v202/ke23a.html conf/icml/2023 db/conf/icml/icml2023.html#KeH23

Shixiong Wang Haowei Wang Jean Honorio Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity. 2023 abs/2301.13565 CoRR https://doi.org/10.48550/arXiv.2301.13565 db/journals/corr/corr2301.html#abs-2301-13565

Hanbyul Lee 0001 Qifan Song Jean Honorio Support Recovery in Sparse PCA with Non-Random Missing Data. 2023 abs/2302.01535 CoRR https://doi.org/10.48550/arXiv.2302.01535 db/journals/corr/corr2302.html#abs-2302-01535

Chuyang Ke Jean Honorio Exact Inference in High-order Structured Prediction. 2023 abs/2302.03236 CoRR https://doi.org/10.48550/arXiv.2302.03236 db/journals/corr/corr2302.html#abs-2302-03236

Wenjie Li Haoze Li Jean Honorio Qifan Song PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms. 2023 abs/2303.04030 CoRR https://doi.org/10.48550/arXiv.2303.04030 https://www.wikidata.org/entity/Q127485800 db/journals/corr/corr2303.html#abs-2303-04030

Hanbyul Lee 0001 Rahul Mazumder Qifan Song Jean Honorio Matrix Completion from General Deterministic Sampling Patterns. 2023 abs/2306.02283 CoRR https://doi.org/10.48550/arXiv.2306.02283 db/journals/corr/corr2306.html#abs-2306-02283

Chuyang Ke Jean Honorio Partial Inference in Structured Prediction. 2023 abs/2306.03949 CoRR https://doi.org/10.48550/arXiv.2306.03949 db/journals/corr/corr2306.html#abs-2306-03949

Adarsh Barik Jean Honorio Outlier-robust Estimation of a Sparse Linear Model Using Invexity. 2023 abs/2306.12678 CoRR https://doi.org/10.48550/arXiv.2306.12678 db/journals/corr/corr2306.html#abs-2306-12678

Adarsh Barik Suvrit Sra Jean Honorio Invex Programs: First Order Algorithms and Their Convergence. 2023 abs/2307.04456 CoRR https://doi.org/10.48550/arXiv.2307.04456 db/journals/corr/corr2307.html#abs-2307-04456

Wenjie Li Qifan Song Jean Honorio Personalized Federated X -armed Bandit. 2023 abs/2310.16323 CoRR https://doi.org/10.48550/arXiv.2310.16323 db/journals/corr/corr2310.html#abs-2310-16323

Chuyang Ke Jean Honorio Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation. 284:1-284:28 2022 23 J. Mach. Learn. Res. https://jmlr.org/papers/v23/22-0232.html db/journals/jmlr/jmlr23.html#KeH22

Kevin Bello Chuyang Ke Jean Honorio A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy. 640-654 2022 AISTATS https://proceedings.mlr.press/v151/bello22a.html conf/aistats/2022 db/conf/aistats/aistats2022.html#BelloKH22 Chuyang Ke Jean Honorio Federated Myopic Community Detection with One-shot Communication. 4937-4954 2022 AISTATS https://proceedings.mlr.press/v151/ke22a.html conf/aistats/2022 db/conf/aistats/aistats2022.html#KeH22 Chuyang Ke Jean Honorio Exact Partitioning of High-Order Planted Models with A Tensor Nuclear Norm Constraint. 4428-4432 2022 ICASSP https://doi.org/10.1109/ICASSP43922.2022.9747371 conf/icassp/2022 db/conf/icassp/icassp2022.html#KeH22 Adarsh Barik Jean Honorio Provable Sample Complexity Guarantees For Learning Of Continuous-Action Graphical Games With Nonparametric Utilities. 4443-4447 2022 ICASSP https://doi.org/10.1109/ICASSP43922.2022.9747045 conf/icassp/2022 db/conf/icassp/icassp2022.html#BarikH22 Adarsh Barik Jean Honorio Information Theoretic Limits For Standard and One-Bit Compressed Sensing with Graph-Structured Sparsity. 5173-5177 2022 ICASSP https://doi.org/10.1109/ICASSP43922.2022.9746057 conf/icassp/2022 db/conf/icassp/icassp2022.html#BarikH22a Adarsh Barik Jean Honorio Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation. 1627-1646 2022 ICML https://proceedings.mlr.press/v162/barik22a.html conf/icml/2022 db/conf/icml/icml2022.html#BarikH22 Wenjie Li Adarsh Barik Jean Honorio A Simple Unified Framework for High Dimensional Bandit Problems. 12619-12655 2022 ICML https://proceedings.mlr.press/v162/li22a.html conf/icml/2022 db/conf/icml/icml2022.html#LiBH22 Hanbyul Lee 0001 Kevin Bello Jean Honorio On the Fundamental Limits of Exact Inference in Structured Prediction. 3174-3179 2022 ISIT https://doi.org/10.1109/ISIT50566.2022.9834614 conf/isit/2022 db/conf/isit/isit2022.html#LeeBH22 Hanbyul Lee 0001 Qifan Song Jean Honorio Support Recovery in Sparse PCA with Incomplete Data. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/af050c48a0d8162e46b3d1952e7e374f-Abstract-Conference.html db/conf/nips/neurips2022.html#LeeSH22

Site Bai Chuyang Ke Jean Honorio Dual Convexified Convolutional Neural Networks. 2022 abs/2205.14056 CoRR https://doi.org/10.48550/arXiv.2205.14056 db/journals/corr/corr2205.html#abs-2205-14056

Hanbyul Lee 0001 Qifan Song Jean Honorio Support Recovery in Sparse PCA with Incomplete Data. 2022 abs/2205.15215 CoRR https://doi.org/10.48550/arXiv.2205.15215 db/journals/corr/corr2205.html#abs-2205-15215

Wenjie Li Qifan Song Jean Honorio Guang Lin 0001 Federated X-Armed Bandit. 2022 abs/2205.15268 CoRR https://doi.org/10.48550/arXiv.2205.15268 db/journals/corr/corr2205.html#abs-2205-15268

Adarsh Barik Jean Honorio Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation. 2022 abs/2206.01167 CoRR https://doi.org/10.48550/arXiv.2206.01167 db/journals/corr/corr2206.html#abs-2206-01167

Chuyang Ke Jean Honorio Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns. 2022 abs/2206.04893 CoRR https://doi.org/10.48550/arXiv.2206.04893 db/journals/corr/corr2206.html#abs-2206-04893

Imon Banerjee Jean Honorio Meta Sparse Principal Component Analysis. 2022 abs/2208.08938 CoRR https://doi.org/10.48550/arXiv.2208.08938 db/journals/corr/corr2208.html#abs-2208-08938

Deepak Maurya Adarsh Barik Jean Honorio A Novel Plug-and-Play Approach for Adversarially Robust Generalization. 2022 abs/2208.09449 CoRR https://doi.org/10.48550/arXiv.2208.09449 db/journals/corr/corr2208.html#abs-2208-09449

Huiming Xie Jean Honorio Meta Learning for High-dimensional Ising Model Selection Using $\ell_1$-regularized Logistic Regression. 2022 abs/2208.09539 CoRR https://doi.org/10.48550/arXiv.2208.09539 db/journals/corr/corr2208.html#abs-2208-09539

Shixiong Wang Haowei Wang Jean Honorio Distributional Robustness Bounds Generalization Errors. 2022 abs/2212.09962 CoRR https://doi.org/10.48550/arXiv.2212.09962 db/journals/corr/corr2212.html#abs-2212-09962

Deepak Maurya Jean Honorio A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression. 2022 abs/2212.11209 CoRR https://doi.org/10.48550/arXiv.2212.11209 db/journals/corr/corr2212.html#abs-2212-11209

Yuki Ohnishi Jean Honorio Novel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation. 1711-1719 2021 AISTATS http://proceedings.mlr.press/v130/ohnishi21a.html conf/aistats/2021 db/conf/aistats/aistats2021.html#OhnishiH21 Zhanyu Wang Jean Honorio The Sample Complexity of Meta Sparse Regression. 2323-2331 2021 AISTATS http://proceedings.mlr.press/v130/wang21f.html conf/aistats/2021 db/conf/aistats/aistats2021.html#WangH21 Manuel Widmoser Maria Leonor Pacheco Jean Honorio Dan Goldwasser Randomized Deep Structured Prediction for Discourse-Level Processing. 1174-1184 2021 EACL https://doi.org/10.18653/v1/2021.eacl-main.100 https://aclanthology.org/2021.eacl-main.100/ conf/eacl/2021 db/conf/eacl/eacl2021.html#WidmoserPHG21 Abi Komanduru Jean Honorio A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning. 5676-5685 2021 ICML http://proceedings.mlr.press/v139/komanduru21a.html conf/icml/2021 db/conf/icml/icml2021.html#KomanduruH21 Qian Zhang 0067 Yilin Zheng Jean Honorio Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation. 12642-12652 2021 ICML http://proceedings.mlr.press/v139/zhang21aa.html conf/icml/2021 db/conf/icml/icml2021.html#ZhangZH21a Donald Q. Adams Adarsh Barik Jean Honorio Information-Theoretic Bounds for Integral Estimation. 742-747 2021 ISIT https://doi.org/10.1109/ISIT45174.2021.9518117 conf/isit/2021 db/conf/isit/isit2021.html#AdamsBH21 Qiuling Xu Kevin Bello Jean Honorio A Le Cam Type Bound for Adversarial Learning and Applications. 1164-1169 2021 ISIT https://doi.org/10.1109/ISIT45174.2021.9518178 conf/isit/2021 db/conf/isit/isit2021.html#XuBH21 Zitao Li Jean Honorio Regularized Loss Minimizers with Local Data Perturbation: Consistency and Data Irrecoverability. 1314-1319 2021 ISIT https://doi.org/10.1109/ISIT45174.2021.9517806 conf/isit/2021 db/conf/isit/isit2021.html#LiH21 Abdulrahman Alabdulkareem Jean Honorio Information-theoretic lower bounds for zero-order stochastic gradient estimation. 2316-2321 2021 ISIT https://doi.org/10.1109/ISIT45174.2021.9517799 conf/isit/2021 db/conf/isit/isit2021.html#AlabdulkareemH21 Krishna Reddy Kesari Jean Honorio First Order Methods take Exponential Time to Converge to Global Minimizers of Non-Convex Functions. 2322-2327 2021 ISIT https://doi.org/10.1109/ISIT45174.2021.9518268 conf/isit/2021 db/conf/isit/isit2021.html#KesariH21 Jiajun Liang Chuyang Ke Jean Honorio Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection. 2578-2583 2021 ISIT https://doi.org/10.1109/ISIT45174.2021.9517728 conf/isit/2021 db/conf/isit/isit2021.html#LiangKH21 Gregory Dexter Kevin Bello Jean Honorio Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees. 6972-6982 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/384babc3e7faa44cf1ca671b74499c3b-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#DexterBH21 Adarsh Barik Jean Honorio Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem. 23245-23257 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/c39b9a47811f1eaf3244a63ae8c22734-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#BarikH21 Zhikun Zhang 0001 Tianhao Wang 0001 Ninghui Li 0001 Jean Honorio Michael Backes 0001 Shibo He Jiming Chen 0001 Yang Zhang 0016 PrivSyn: Differentially Private Data Synthesis. 929-946 2021 USENIX Security Symposium https://www.usenix.org/conference/usenixsecurity21/presentation/zhang-zhikun conf/uss/2021 db/conf/uss/uss2021.html#00010LH0H0021

Manuel Widmoser Maria Leonor Pacheco Jean Honorio Dan Goldwasser Randomized Deep Structured Prediction for Discourse-Level Processing. 2021 abs/2101.10435 CoRR https://arxiv.org/abs/2101.10435 db/journals/corr/corr2101.html#abs-2101-10435

Jiajun Liang Chuyang Ke Jean Honorio Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection. 2021 abs/2101.12369 CoRR https://arxiv.org/abs/2101.12369 db/journals/corr/corr2101.html#abs-2101-12369

Gregory Dexter Kevin Bello Jean Honorio Inverse Reinforcement Learning in the Continuous Setting with Formal Guarantees. 2021 abs/2102.07937 CoRR https://arxiv.org/abs/2102.07937 db/journals/corr/corr2102.html#abs-2102-07937

Kevin Bello Chuyang Ke Jean Honorio A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy. 2021 abs/2102.08019 CoRR https://arxiv.org/abs/2102.08019 db/journals/corr/corr2102.html#abs-2102-08019

Hanbyul Lee 0001 Kevin Bello Jean Honorio On the Fundamental Limits of Exact Inference in Structured Prediction. 2021 abs/2102.08895 CoRR https://arxiv.org/abs/2102.08895 db/journals/corr/corr2102.html#abs-2102-08895

Wenjie Li Adarsh Barik Jean Honorio A Simple Unified Framework for High Dimensional Bandit Problems. 2021 abs/2102.09626 CoRR https://arxiv.org/abs/2102.09626 db/journals/corr/corr2102.html#abs-2102-09626

Adarsh Barik Jean Honorio Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem. 2021 abs/2102.09704 CoRR https://arxiv.org/abs/2102.09704 db/journals/corr/corr2102.html#abs-2102-09704

Donald Q. Adams Adarsh Barik Jean Honorio Information-Theoretic Bounds for Integral Estimation. 2021 abs/2102.10199 CoRR https://arxiv.org/abs/2102.10199 db/journals/corr/corr2102.html#abs-2102-10199

Abi Komanduru Jean Honorio A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning. 2021 abs/2103.04446 CoRR https://arxiv.org/abs/2103.04446 db/journals/corr/corr2103.html#abs-2103-04446

Chuyang Ke Jean Honorio Federated Myopic Community Detection with One-shot Communication. 2021 abs/2106.07255 CoRR https://arxiv.org/abs/2106.07255 db/journals/corr/corr2106.html#abs-2106-07255

Kevin Bello Asish Ghoshal Jean Honorio Minimax Bounds for Structured Prediction Based on Factor Graphs. 213-222 2020 AISTATS http://proceedings.mlr.press/v108/bello20a.html conf/aistats/2020 db/conf/aistats/aistats2020.html#BelloGH20 Adarsh Bank Jean Honorio Provable Efficient Skeleton Learning of Encodable Discrete Bayes Nets in Poly-Time and Sample Complexity. 2486-2491 2020 ISIT https://doi.org/10.1109/ISIT44484.2020.9174477 conf/isit/2020 db/conf/isit/isit2020.html#BankH20 Kevin Bello Jean Honorio Fairness constraints can help exact inference in structured prediction. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/8248a99e81e752cb9b41da3fc43fbe7f-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#BelloH20

Zhanyu Wang Jean Honorio The Sample Complexity of Meta Sparse Regression. 2020 abs/2002.09587 CoRR https://arxiv.org/abs/2002.09587 db/journals/corr/corr2002.html#abs-2002-09587

Yuki Ohnishi Jean Honorio Novel Change of Measure Inequalities and PAC-Bayesian Bounds. 2020 abs/2002.10678 CoRR https://arxiv.org/abs/2002.10678 db/journals/corr/corr2002.html#abs-2002-10678

Krishna Reddy Kesari Jean Honorio First Order Methods take Exponential Time to Converge to Global Minimizers of Non-Convex Functions. 2020 abs/2002.12911 CoRR https://arxiv.org/abs/2002.12911 db/journals/corr/corr2002.html#abs-2002-12911

Abdulrahman Alabdulkareem Jean Honorio Information-Theoretic Lower Bounds for Zero-Order Stochastic Gradient Estimation. 2020 abs/2003.13881 CoRR https://arxiv.org/abs/2003.13881 db/journals/corr/corr2003.html#abs-2003-13881

Adarsh Barik Jean Honorio Provable Sample Complexity Guarantees for Learning of Continuous-Action Graphical Games with Nonparametric Utilities. 2020 abs/2004.01022 CoRR https://arxiv.org/abs/2004.01022 db/journals/corr/corr2004.html#abs-2004-01022

Chuyang Ke Jean Honorio Exact Partitioning of High-order Planted Models with a Tensor Nuclear Norm Constraint. 2020 abs/2006.11666 CoRR https://arxiv.org/abs/2006.11666 db/journals/corr/corr2006.html#abs-2006-11666

Adarsh Barik Jean Honorio Exact Support Recovery in Federated Regression with One-shot Communication. 2020 abs/2006.12583 CoRR https://arxiv.org/abs/2006.12583 db/journals/corr/corr2006.html#abs-2006-12583

Qian Zhang 0067 Yilin Zheng Jean Honorio Support Union Recovery in Meta Learning of Gaussian Graphical Models. 2020 abs/2006.12598 CoRR https://arxiv.org/abs/2006.12598 db/journals/corr/corr2006.html#abs-2006-12598

Kevin Bello Jean Honorio Fairness constraints can help exact inference in structured prediction. 2020 abs/2007.00218 CoRR https://arxiv.org/abs/2007.00218 db/journals/corr/corr2007.html#abs-2007-00218

Kevin Bello Qiuling Xu Jean Honorio Fundamental Limits of Adversarial Learning. 2020 abs/2007.00289 CoRR https://arxiv.org/abs/2007.00289 db/journals/corr/corr2007.html#abs-2007-00289

Xiaochen Yang Jean Honorio Information Theoretic Sample Complexity Lower Bound for Feed-Forward Fully-Connected Deep Networks. 2020 abs/2007.00796 CoRR https://arxiv.org/abs/2007.00796 db/journals/corr/corr2007.html#abs-2007-00796

Zhikun Zhang 0001 Tianhao Wang 0001 Ninghui Li 0001 Jean Honorio Michael Backes 0001 Shibo He Jiming Chen 0001 Yang Zhang 0016 PrivSyn: Differentially Private Data Synthesis. 2020 abs/2012.15128 CoRR https://arxiv.org/abs/2012.15128 db/journals/corr/corr2012.html#abs-2012-15128

Zhaosen Wang Jean Honorio Reconstructing a Bounded-Degree Directed Tree Using Path Queries. 506-513 2019 Allerton https://doi.org/10.1109/ALLERTON.2019.8919924 conf/allerton/2019 db/conf/allerton/allerton2019.html#WangH19 Raphael A. Meyer Jean Honorio Optimality Implies Kernel Sum Classifiers are Statistically Efficient. 4566-4574 2019 ICML http://proceedings.mlr.press/v97/meyer19a.html conf/icml/2019 db/conf/icml/icml2019.html#MeyerH19 Longyun Guo Jean Honorio John Morgan Cost-Aware Learning for Improved Identifiability with Multiple Experiments. 1802-1806 2019 ISIT https://doi.org/10.1109/ISIT.2019.8849530 conf/isit/2019 db/conf/isit/isit2019.html#GuoHM19 Kevin Bello Jean Honorio Exact inference in structured prediction. 3693-3702 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/312351bff07989769097660a56395065-Abstract.html http://papers.nips.cc/paper/8627-exact-inference-in-structured-prediction conf/nips/2019 db/conf/nips/nips2019.html#BelloH19 Abi Komanduru Jean Honorio On the Correctness and Sample Complexity of Inverse Reinforcement Learning. 7110-7119 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/42c8938e4cf5777700700e642dc2a8cd-Abstract.html http://papers.nips.cc/paper/8933-on-the-correctness-and-sample-complexity-of-inverse-reinforcement-learning conf/nips/2019 db/conf/nips/nips2019.html#KomanduruH19 Adarsh Barik Jean Honorio Learning Bayesian Networks with Low Rank Conditional Probability Tables. 8962-8971 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/187acf7982f3c169b3075132380986e4-Abstract.html http://papers.nips.cc/paper/9098-learning-bayesian-networks-with-low-rank-conditional-probability-tables conf/nips/2019 db/conf/nips/nips2019.html#BarikH19

Raphael Arkady Meyer Jean Honorio On the Statistical Efficiency of Optimal Kernel Sum Classifiers. 2019 abs/1901.09087 CoRR http://arxiv.org/abs/1901.09087 db/journals/corr/corr1901.html#abs-1901-09087

Chuyang Ke Jean Honorio Exact Recovery in the Latent Space Model. 2019 abs/1902.03099 CoRR http://arxiv.org/abs/1902.03099 db/journals/corr/corr1902.html#abs-1902-03099

Adarsh Barik Jean Honorio Learning Bayesian Networks with Low Rank Conditional Probability Tables. 2019 abs/1905.12552 CoRR http://arxiv.org/abs/1905.12552 db/journals/corr/corr1905.html#abs-1905-12552

Abi Komanduru Jean Honorio On the Correctness and Sample Complexity of Inverse Reinforcement Learning. 2019 abs/1906.00422 CoRR http://arxiv.org/abs/1906.00422 db/journals/corr/corr1906.html#abs-1906-00422

Kevin Bello Asish Ghoshal Jean Honorio Minimax bounds for structured prediction. 2019 abs/1906.00449 CoRR http://arxiv.org/abs/1906.00449 db/journals/corr/corr1906.html#abs-1906-00449

Kevin Bello Jean Honorio Exact inference in structured prediction. 2019 abs/1906.00451 CoRR http://arxiv.org/abs/1906.00451 db/journals/corr/corr1906.html#abs-1906-00451

Chuyang Ke Jean Honorio Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation. 2019 abs/1911.02161 CoRR http://arxiv.org/abs/1911.02161 db/journals/corr/corr1911.html#abs-1911-02161

Adarsh Barik Jean Honorio Provable Computational and Statistical Guarantees for Efficient Learning of Continuous-Action Graphical Games. 2019 abs/1911.04225 CoRR http://arxiv.org/abs/1911.04225 db/journals/corr/corr1911.html#abs-1911-04225

Asish Ghoshal Jean Honorio Learning linear structural equation models in polynomial time and sample complexity. 1466-1475 2018 AISTATS http://proceedings.mlr.press/v84/ghoshal18a.html conf/aistats/2018 db/conf/aistats/aistats2018.html#GhoshalH18 Asish Ghoshal Jean Honorio Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity. 1486-1494 2018 AISTATS http://proceedings.mlr.press/v84/ghoshal18b.html conf/aistats/2018 db/conf/aistats/aistats2018.html#GhoshalH18a Yixi Xu Jean Honorio Xiao Wang 0045 On the Statistical Efficiency of Compositional Nonparametric Prediction. 1531-1539 2018 AISTATS http://proceedings.mlr.press/v84/xu18f.html conf/aistats/2018 db/conf/aistats/aistats2018.html#XuHW18 Meimei Liu 0002 Jean Honorio Guang Cheng 0003 Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression. 1005-1011 2018 Allerton https://doi.org/10.1109/ALLERTON.2018.8635936 conf/allerton/2018 db/conf/allerton/allerton2018.html#LiuHC18 Asish Ghoshal Jean Honorio Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time. 1749-1757 2018 ICML http://proceedings.mlr.press/v80/ghoshal18a.html conf/icml/2018 db/conf/icml/icml2018.html#GhoshalH18 Kevin Bello Jean Honorio Learning latent variable structured prediction models with Gaussian perturbations. 3149-3159 2018 NeurIPS https://proceedings.neurips.cc/paper/2018/hash/f18a6d1cde4b205199de8729a6637b42-Abstract.html http://papers.nips.cc/paper/7577-learning-latent-variable-structured-prediction-models-with-gaussian-perturbations conf/nips/2018 db/conf/nips/nips2018.html#BelloH18 Chuyang Ke Jean Honorio Information-theoretic Limits for Community Detection in Network Models. 8334-8343 2018 NeurIPS https://proceedings.neurips.cc/paper/2018/hash/1dba3025b159cd9354da65e2d0436a31-Abstract.html http://papers.nips.cc/paper/8053-information-theoretic-limits-for-community-detection-in-network-models conf/nips/2018 db/conf/nips/nips2018.html#KeH18 Kevin Bello Jean Honorio Computationally and statistically efficient learning of causal Bayes nets using path queries. 10954-10964 2018 NeurIPS https://proceedings.neurips.cc/paper/2018/hash/a0b45d1bb84fe1bedbb8449764c4d5d5-Abstract.html http://papers.nips.cc/paper/8290-computationally-and-statistically-efficient-learning-of-causal-bayes-nets-using-path-queries conf/nips/2018 db/conf/nips/nips2018.html#BelloH18a

Longyun Guo Jean Honorio John Morgan On the Sample Complexity of Learning from a Sequence of Experiments. 2018 abs/1802.04350 CoRR http://arxiv.org/abs/1802.04350 db/journals/corr/corr1802.html#abs-1802-04350

Chuyang Ke Jean Honorio Information-theoretic Limits for Community Detection in Network Models. 2018 abs/1802.06104 CoRR http://arxiv.org/abs/1802.06104 db/journals/corr/corr1802.html#abs-1802-06104

Adarsh Barik Jean Honorio Learning Binary Bayesian Networks in Polynomial Time and Sample Complexity. 2018 abs/1803.04087 CoRR http://arxiv.org/abs/1803.04087 db/journals/corr/corr1803.html#abs-1803-04087

Zitao Li Jean Honorio Regularized Loss Minimizers with Local Data Obfuscation. 2018 abs/1805.07645 CoRR http://arxiv.org/abs/1805.07645 db/journals/corr/corr1805.html#abs-1805-07645

Asish Ghoshal Jean Honorio Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time. 2018 abs/1805.08196 CoRR http://arxiv.org/abs/1805.08196 db/journals/corr/corr1805.html#abs-1805-08196

Kevin Bello Jean Honorio Learning latent variable structured prediction models with Gaussian perturbations. 2018 abs/1805.09213 CoRR http://arxiv.org/abs/1805.09213 db/journals/corr/corr1805.html#abs-1805-09213

Meimei Liu 0002 Jean Honorio Guang Cheng 0003 Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression. 2018 abs/1809.06019 CoRR http://arxiv.org/abs/1809.06019 db/journals/corr/corr1809.html#abs-1809-06019

Adarsh Barik Jean Honorio Information Theoretic Limits for Standard and One-Bit Compressed Sensing with Graph-Structured Sparsity. 2018 abs/1811.06635 CoRR http://arxiv.org/abs/1811.06635 db/journals/corr/corr1811.html#abs-1811-06635

Asish Ghoshal Jean Honorio Information-theoretic limits of Bayesian network structure learning. 767-775 2017 AISTATS http://proceedings.mlr.press/v54/ghoshal17a.html conf/aistats/2017 db/conf/aistats/aistats2017.html#GhoshalH17 Asish Ghoshal Jean Honorio Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions. 1532-1540 2017 AISTATS http://proceedings.mlr.press/v54/ghoshal17b.html conf/aistats/2017 db/conf/aistats/aistats2017.html#GhoshalH17a Jean Honorio On the sample complexity of learning graphical games. 830-836 2017 Allerton https://doi.org/10.1109/ALLERTON.2017.8262825 conf/allerton/2017 db/conf/allerton/allerton2017.html#Honorio17 Adarsh Barik Jean Honorio Mohit Tawarmalani Information theoretic limits for linear prediction with graph-structured sparsity. 2348-2352 2017 ISIT https://doi.org/10.1109/ISIT.2017.8006949 conf/isit/2017 db/conf/isit/isit2017.html#BarikHT17 Asish Ghoshal Jean Honorio Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity. 6457-6466 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/907edb0aa6986220dbffb79a788596ee-Abstract.html http://papers.nips.cc/paper/7224-learning-identifiable-gaussian-bayesian-networks-in-polynomial-time-and-sample-complexity conf/nips/2017 db/conf/nips/nips2017.html#GhoshalH17

Adarsh Barik Jean Honorio Mohit Tawarmalani Information Theoretic Limits for Linear Prediction with Graph-Structured Sparsity. 2017 abs/1701.07895 CoRR http://arxiv.org/abs/1701.07895 db/journals/corr/corr1701.html#BarikHT17

Asish Ghoshal Jean Honorio Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity. 2017 abs/1703.01196 CoRR http://arxiv.org/abs/1703.01196 db/journals/corr/corr1703.html#GhoshalH17

Asish Ghoshal Jean Honorio Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions. 2017 abs/1703.01218 CoRR http://arxiv.org/abs/1703.01218 db/journals/corr/corr1703.html#GhoshalH17a

Yixi Xu Jean Honorio Xiao Wang 0045 Statistical Efficiency of Compositional Nonparametric Prediction. 2017 abs/1704.01896 CoRR http://arxiv.org/abs/1704.01896 db/journals/corr/corr1704.html#XuHW17

Kevin Bello Jean Honorio Learning Bayes networks using interventional path queries in polynomial time and sample complexity. 2017 abs/1706.00754 CoRR http://arxiv.org/abs/1706.00754 db/journals/corr/corr1706.html#BelloH17

Asish Ghoshal Jean Honorio Learning Sparse Potential Games in Polynomial Time and Sample Complexity. 2017 abs/1706.05648 CoRR http://arxiv.org/abs/1706.05648 db/journals/corr/corr1706.html#GhoshalH17b

Asish Ghoshal Jean Honorio Learning linear structural equation models in polynomial time and sample complexity. 2017 abs/1707.04673 CoRR http://arxiv.org/abs/1707.04673 db/journals/corr/corr1707.html#GhoshalH17aa

Asish Ghoshal Jean Honorio From behavior to sparse graphical games: Efficient recovery of equilibria. 1220-1227 2016 Allerton https://doi.org/10.1109/ALLERTON.2016.7852374 conf/allerton/2016 db/conf/allerton/allerton2016.html#GhoshalH16 Keehwan Park Jean Honorio Information-theoretic lower bounds for recovery of diffusion network structures. 1346-1350 2016 ISIT https://doi.org/10.1109/ISIT.2016.7541518 conf/isit/2016 db/conf/isit/isit2016.html#ParkH16 Jean Honorio Tommi S. Jaakkola Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms. 2016 UAI http://auai.org/uai2016/proceedings/papers/79.pdf conf/uai/2016 db/conf/uai/uai2016.html#HonorioJ16

Jean Honorio On the Sample Complexity of Learning Sparse Graphical Games. 2016 abs/1601.07243 CoRR http://arxiv.org/abs/1601.07243 db/journals/corr/corr1601.html#Honorio16

Asish Ghoshal Jean Honorio Information-theoretic lower bounds on learning the structure of Bayesian networks. 2016 abs/1601.07460 CoRR http://arxiv.org/abs/1601.07460 db/journals/corr/corr1601.html#GhoshalH16

Keehwan Park Jean Honorio Information-Theoretic Lower Bounds for Recovery of Diffusion Network Structures. 2016 abs/1601.07932 CoRR http://arxiv.org/abs/1601.07932 db/journals/corr/corr1601.html#ParkH16

Zhaosen Wang Jean Honorio Reconstructing a Bounded-Degree Directed Tree Using Path Queries. 2016 abs/1606.05183 CoRR http://arxiv.org/abs/1606.05183 db/journals/corr/corr1606.html#WangH16c

Asish Ghoshal Jean Honorio From Behavior to Sparse Graphical Games: Efficient Recovery of Equilibria. 2016 abs/1607.02959 CoRR http://arxiv.org/abs/1607.02959 db/journals/corr/corr1607.html#GhoshalH16a

Eugene Belilovsky Katerina Gkirtzou Michail Misyrlis Anna B. Konova Jean Honorio Nelly Alia-Klein Rita Z. Goldstein Dimitris Samaras Matthew B. Blaschko Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm. 40-46 2015 46 Comput. Medical Imaging Graph. https://doi.org/10.1016/j.compmedimag.2015.03.007 https://www.wikidata.org/entity/Q30929378 db/journals/cmig/cmig46.html#BelilovskyGMKHA15

Jean Honorio Luis E. Ortiz Learning the structure and parameters of large-population graphical games from behavioral data. 1157-1210 2015 16 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/2789272.2886787 db/journals/jmlr/jmlr16.html#HonorioO15

Jean Honorio Tommi S. Jaakkola Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms. 2015 abs/1508.00945 CoRR http://arxiv.org/abs/1508.00945 db/journals/corr/corr1508.html#HonorioJ15

Jean Honorio Tommi S. Jaakkola Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees. 384-392 2014 AISTATS http://proceedings.mlr.press/v33/honorio14.html conf/aistats/2014 db/conf/aistats/aistats2014.html#HonorioJ14 Jean Honorio Tommi S. Jaakkola A Unified Framework for Consistency of Regularized Loss Minimizers. 136-144 2014 ICML http://proceedings.mlr.press/v32/honorio14.html conf/icml/2014 db/conf/icml/icml2014.html#HonorioJ14 Jean Honorio Tommi S. Jaakkola Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy. 459-467 2013 ICML (3) http://proceedings.mlr.press/v28/honorio13.html conf/icml/2013 db/conf/icml/icml2013.html#HonorioJ13 Katerina Gkirtzou Jean Honorio Dimitris Samaras Rita Z. Goldstein Matthew B. Blaschko FMRI analysis of cocaine addiction using k-support sparsity. 1078-1081 2013 conf/isbi/2013 ISBI https://doi.org/10.1109/ISBI.2013.6556665 db/conf/isbi/isbi2013.html#GkirtzouHSGB13 Katerina Gkirtzou Jean Honorio Dimitris Samaras Rita Z. Goldstein Matthew B. Blaschko fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics. 90-97 2013 MLMI https://doi.org/10.1007/978-3-319-02267-3_12 conf/miccai/2013mlmi db/conf/miccai/mlmi2013.html#GkirtzouHSGB13 Jean Honorio Tommi S. Jaakkola Inverse Covariance Estimation for High-Dimensional Data in Linear Time and Space: Spectral Methods for Riccati and Sparse Models. 2013 UAI https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=2390&proceeding_id=29 conf/uai/2013 db/conf/uai/uai2013.html#HonorioJ13

Jean Honorio Tommi S. Jaakkola Inverse Covariance Estimation for High-Dimensional Data in Linear Time and Space: Spectral Methods for Riccati and Sparse Models. 2013 CoRR http://arxiv.org/abs/1309.6838 abs/1309.6838 db/journals/corr/corr1309.html#HonorioJ13

Jean Honorio Dardo Tomasi Rita Z. Goldstein Hoi-Chung Leung Dimitris Samaras Can a Single Brain Region Predict a Disorder? 2062-2072 2012 31 IEEE Trans. Medical Imaging 11 https://doi.org/10.1109/TMI.2012.2206047 https://www.wikidata.org/entity/Q48453724 db/journals/tmi/tmi31.html#HonorioTGLS12

Kiwon Yun Jean Honorio Debaleena Chattopadhyay Tamara L. Berg Dimitris Samaras Two-person interaction detection using body-pose features and multiple instance learning. 28-35 2012 CVPR Workshops https://doi.org/10.1109/CVPRW.2012.6239234 https://doi.ieeecomputersociety.org/10.1109/CVPRW.2012.6239234 conf/cvpr/2012w db/conf/cvpr/cvprw2012.html#YunHCBS12 Jean Honorio Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models. 2012 ICML http://icml.cc/2012/papers/154.pdf conf/icml/2012 db/conf/icml/icml2012.html#Honorio12 Jean Honorio Dimitris Samaras Irina Rish Guillermo A. Cecchi Variable Selection for Gaussian Graphical Models. 538-546 AISTATS 2012 conf/aistats/2012 http://proceedings.mlr.press/v22/honorio12.html db/journals/jmlr/jmlrp22.html#HonorioSRC12

Jean Honorio Lipschitz Parametrization of Probabilistic Graphical Models http://arxiv.org/abs/1202.3733 2012 CoRR abs/1202.3733 db/journals/corr/corr1202.html#abs-1202-3733

Jean Honorio Luis E. Ortiz Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data http://arxiv.org/abs/1206.3713 2012 CoRR abs/1206.3713 db/journals/corr/corr1206.html#abs-1206-3713

Jean Honorio Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models http://arxiv.org/abs/1206.4627 2012 CoRR abs/1206.4627 db/journals/corr/corr1206.html#abs-1206-4627

Jean Honorio Dimitris Samaras Simultaneous and Group-Sparse Multi-Task Learning of Gaussian Graphical Models http://arxiv.org/abs/1207.4255 2012 CoRR abs/1207.4255 db/journals/corr/corr1207.html#abs-1207-4255

Can Kirmizibayrak Jean Honorio Xiaolong Jiang Mark Russell James K. Hahn Digital Analysis and Visualization of Swimming Motion. 9-16 2011 10 Int. J. Virtual Real. 3 https://doi.org/10.20870/IJVR.2011.10.3.2817 db/journals/ijvr/ijvr10.html#KirmizibayrakHJ11

Jean Honorio Lipschitz Parametrization of Probabilistic Graphical Models. 347-354 2011 UAI https://dslpitt.org/uai/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=2167&proceeding_id=27 conf/uai/2011 db/conf/uai/uai2011.html#Honorio11 Jean Honorio Dimitris Samaras Multi-Task Learning of Gaussian Graphical Models. 447-454 2010 ICML https://icml.cc/Conferences/2010/papers/35.pdf conf/icml/2010 db/conf/icml/icml2010.html#HonorioS10 Jean Honorio Dimitris Samaras Dardo Tomasi Rita Z. Goldstein Simple fully automated group classification on brain FMRI. 1145-1148 2010 ISBI https://doi.org/10.1109/ISBI.2010.5490196 conf/isbi/2010 db/conf/isbi/isbi2010.html#HonorioSTG10 Jean Honorio Luis E. Ortiz Dimitris Samaras Nikos Paragios Rita Z. Goldstein Sparse and Locally Constant Gaussian Graphical Models. 745-753 2009 NIPS https://proceedings.neurips.cc/paper/2009/hash/37693cfc748049e45d87b8c7d8b9aacd-Abstract.html http://papers.nips.cc/paper/3801-sparse-and-locally-constant-gaussian-graphical-models conf/nips/2009 db/conf/nips/nips2009.html#HonorioOSPG09 Georg Langs Dimitris Samaras Nikos Paragios Jean Honorio Nelly Alia-Klein Dardo Tomasi Nora D. Volkow Rita Z. Goldstein Task-Specific Functional Brain Geometry from Model Maps. 925-933 2008 MICCAI (1) https://doi.org/10.1007/978-3-540-85988-8_110 https://www.wikidata.org/entity/Q63388126 conf/miccai/2008-1 db/conf/miccai/miccai2008-1.html#LangsSPHATVG08 Donald Q. Adams Naveed Akhtar Abdulrahman Alabdulkareem Nelly Alia-Klein Shengwei An Lachlan L. H. Andrew Basim Azam Michael Backes 0001 Cedar Site BaiSite Bai Imon Banerjee Adarsh Bank Adarsh Barik Eugene Belilovsky Kevin Bello Tamara L. Berg Matthew B. Blaschko Guillermo A. Cecchi Debaleena Chattopadhyay Jiming Chen 0001 Guang Cheng 0003 Siyuan Cheng 0005 Ting Dang Gregory Dexter Jiaheng Dong Junhao Gan Jack Gardiner Abhirup Ghosh Asish Ghoshal Katerina Gkirtzou Rita Z. Goldstein Dan Goldwasser Longyun Guo James K. Hahn Shibo He Tommi S. Jaakkola Hong Jia Xiaolong Jiang Chuyang Ke Krishna Reddy Kesari Can Kirmizibayrak Abi Komanduru Anna B. Konova Georg Langs Hanbyul Lee 0001 Hoi-Chung Leung Haoze Li Ninghui Li 0001 Wenjie Li Xinke Li Zitao Li Jiajun Liang Guang Lin 0001 Nir Lipovetzky Meimei Liu 0002 Yingqi Liu Vineet Malik Deepak Maurya Rahul Mazumder Raphael A. MeyerRaphael Arkady Meyer Michail Misyrlis John Morgan Yuki Ohnishi Luis E. Ortiz Maria Leonor Pacheco Nikos Paragios Aryan Yazdan Parast Keehwan Park Irina Rish Giacomo Rosa Mark Russell Dimitris Samaras Sebastian Sardiña Guangyu Shen Qifan Song Suvrit Sra Guanhong Tao 0001 Mohit Tawarmalani Dardo Tomasi Seeun William Umboh Nora D. Volkow Haowei Wang Shixiong Wang Tianhao Wang 0001 Xiao Wang 0045 Zhanyu Wang Zhaosen Wang Manuel Widmoser Soyoun Won Huiming Xie Qiuling Xu Yixi Xu Xiaochen Yang Xiaofeng Yu Kiwon Yun Guo Zeng Qian Zhang 0067 Xiangyu Zhang 0001 Yang Zhang 0016 Zhikun Zhang 0001 Yilin Zheng