Bao: Making Learned Query Optimization Practical.

Hongzi Mao

Ryan Marcus Parimarjan Negi Hongzi Mao Nesime Tatbul Mohammad Alizadeh Tim Kraska Bao: Making Learned Query Optimization Practical. 6-13 2022 51 SIGMOD Rec. 1 https://doi.org/10.1145/3542700.3542703 db/journals/sigmod/sigmod51.html#MarcusNMTAK22

Parimarjan Negi Ryan Marcus Andreas Kipf Hongzi Mao Nesime Tatbul Tim Kraska Mohammad Alizadeh Flow-Loss: Learning Cardinality Estimates That Matter. 2019-2032 2021 14 Proc. VLDB Endow. 11 http://www.vldb.org/pvldb/vol14/p2019-negi.pdf https://doi.org/10.14778/3476249.3476259 db/journals/pvldb/pvldb14.html#NegiMKMTKA21

Ryan Marcus Parimarjan Negi Hongzi Mao Nesime Tatbul Mohammad Alizadeh Tim Kraska Bao: Making Learned Query Optimization Practical. 1275-1288 2021 SIGMOD Conference https://doi.org/10.1145/3448016.3452838 conf/sigmod/2021 db/conf/sigmod/sigmod2021.html#MarcusNMTAK21

Parimarjan Negi Ryan Marcus Andreas Kipf Hongzi Mao Nesime Tatbul Tim Kraska Mohammad Alizadeh Flow-Loss: Learning Cardinality Estimates That Matter. 2021 abs/2101.04964 CoRR https://arxiv.org/abs/2101.04964 db/journals/corr/corr2101.html#abs-2101-04964

Parimarjan Negi Ryan Marcus Hongzi Mao Nesime Tatbul Tim Kraska Mohammad Alizadeh Cost-Guided Cardinality Estimation: Focus Where it Matters. 154-157 2020 ICDE Workshops https://doi.org/10.1109/ICDEW49219.2020.00034 conf/icde/2020w db/conf/icde/icde2020w.html#NegiMMTKA20 Qing Feng Benjamin Letham Hongzi Mao Eytan Bakshy High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/faff959d885ec0ecf70741a846c34d1d-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#FengLMB20 Lujing Cen Ryan Marcus Hongzi Mao Justin Gottschlich Mohammad Alizadeh Tim Kraska Learned garbage collection. 38-44 2020 MAPL@PLDI https://doi.org/10.1145/3394450.3397469 conf/pldi/2020mapl db/conf/pldi/mapl2020.html#CenMMGAK20 Zili Meng Minhu Wang Jiasong Bai Mingwei Xu 0001 Hongzi Mao Hongxin Hu Interpreting Deep Learning-Based Networking Systems. 154-171 2020 SIGCOMM https://doi.org/10.1145/3387514.3405859 conf/sigcomm/2020 db/conf/sigcomm/sigcomm2020.html#MengWBXMH20

Ryan Marcus Parimarjan Negi Hongzi Mao Nesime Tatbul Mohammad Alizadeh Tim Kraska Bao: Learning to Steer Query Optimizers. 2020 abs/2004.03814 CoRR https://arxiv.org/abs/2004.03814 db/journals/corr/corr2004.html#abs-2004-03814

Lujing Cen Ryan Marcus Hongzi Mao Justin Gottschlich Mohammad Alizadeh Tim Kraska Learned Garbage Collection. 2020 abs/2004.13301 CoRR https://arxiv.org/abs/2004.13301 db/journals/corr/corr2004.html#abs-2004-13301

Hongzi Mao Shannon Chen Drew Dimmery Shaun Singh Drew Blaisdell Yuandong Tian Mohammad Alizadeh Eytan Bakshy Real-world Video Adaptation with Reinforcement Learning. 2020 abs/2008.12858 CoRR https://arxiv.org/abs/2008.12858 db/journals/corr/corr2008.html#abs-2008-12858

Hongzi Mao Chenjie Gu Miaosen Wang Angie Chen Nevena Lazic Nir Levine Derek Pang Rene Claus Marisabel Hechtman Ching-Han Chiang Cheng Chen Jingning Han Neural Rate Control for Video Encoding using Imitation Learning. 2020 abs/2012.05339 CoRR https://arxiv.org/abs/2012.05339 db/journals/corr/corr2012.html#abs-2012-05339

Ryan Marcus Parimarjan Negi Hongzi Mao Chi Zhang 0068 Mohammad Alizadeh Tim Kraska Olga Papaemmanouil Nesime Tatbul Neo: A Learned Query Optimizer. 1705-1718 2019 12 Proc. VLDB Endow. 11 http://www.vldb.org/pvldb/vol12/p1705-marcus.pdf https://doi.org/10.14778/3342263.3342644 db/journals/pvldb/pvldb12.html#MarcusNMZAKPT19

Tim Kraska Mohammad Alizadeh Alex Beutel Ed H. Chi Ani Kristo Guillaume Leclerc Samuel Madden 0001 Hongzi Mao Vikram Nathan SageDB: A Learned Database System. 2019 CIDR https://vldb.org/cidrdb/2019/sagedb-a-learned-database-system.html conf/cidr/2019 db/conf/cidr/cidr2019.html#KraskaABCKLMMN19 Hongzi Mao Shaileshh Bojja Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh Variance Reduction for Reinforcement Learning in Input-Driven Environments. 2019 ICLR (Poster) https://openreview.net/forum?id=Hyg1G2AqtQ conf/iclr/2019 db/conf/iclr/iclr2019.html#MaoVSA19 Hongzi Mao Parimarjan Negi Akshay Narayan 0001 Hanrui Wang 0002 Jiacheng Yang Haonan Wang Ryan Marcus Ravichandra Addanki Mehrdad Khani Shirkoohi Songtao He Vikram Nathan Frank Cangialosi Shaileshh Bojja Venkatakrishnan Wei-Hung Weng Song Han 0003 Tim Kraska Mohammad Alizadeh Park: An Open Platform for Learning-Augmented Computer Systems. 2490-2502 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/f69e505b08403ad2298b9f262659929a-Abstract.html http://papers.nips.cc/paper/8519-park-an-open-platform-for-learning-augmented-computer-systems conf/nips/2019 db/conf/nips/nips2019.html#MaoNN0YWMASHNCV19 Ravichandra Addanki Shaileshh Bojja Venkatakrishnan Shreyan Gupta Hongzi Mao Mohammad Alizadeh Learning Generalizable Device Placement Algorithms for Distributed Machine Learning. 3983-3993 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/71560ce98c8250ce57a6a970c9991a5f-Abstract.html http://papers.nips.cc/paper/8653-learning-generalizable-device-placement-algorithms-for-distributed-machine-learning conf/nips/2019 db/conf/nips/nips2019.html#AddankiVGMA19 Hongzi Mao Malte Schwarzkopf Shaileshh Bojja Venkatakrishnan Zili Meng Mohammad Alizadeh Learning scheduling algorithms for data processing clusters. 270-288 2019 SIGCOMM https://doi.org/10.1145/3341302.3342080 https://www.wikidata.org/entity/Q131121445 conf/sigcomm/2019 db/conf/sigcomm/sigcomm2019.html#MaoSVMA19

Ryan Marcus Parimarjan Negi Hongzi Mao Chi Zhang 0068 Mohammad Alizadeh Tim Kraska Olga Papaemmanouil Nesime Tatbul Neo: A Learned Query Optimizer. 2019 abs/1904.03711 CoRR http://arxiv.org/abs/1904.03711 db/journals/corr/corr1904.html#abs-1904-03711

Ravichandra Addanki Shaileshh Bojja Venkatakrishnan Shreyan Gupta Hongzi Mao Mohammad Alizadeh Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning. 2019 abs/1906.08879 CoRR http://arxiv.org/abs/1906.08879 db/journals/corr/corr1906.html#abs-1906-08879

Zili Meng Minhu Wang Mingwei Xu 0001 Hongzi Mao Jiasong Bai Hongxin Hu Explaining Deep Learning-Based Networked Systems. 2019 abs/1910.03835 CoRR http://arxiv.org/abs/1910.03835 db/journals/corr/corr1910.html#abs-1910-03835

Hongzi Mao Shaileshh Bojja Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh Variance Reduction for Reinforcement Learning in Input-Driven Environments. 2018 abs/1807.02264 CoRR http://arxiv.org/abs/1807.02264 db/journals/corr/corr1807.html#abs-1807-02264

Hongzi Mao Malte Schwarzkopf Shaileshh Bojja Venkatakrishnan Zili Meng Mohammad Alizadeh Learning Scheduling Algorithms for Data Processing Clusters. 2018 abs/1810.01963 CoRR http://arxiv.org/abs/1810.01963 db/journals/corr/corr1810.html#abs-1810-01963

Hongzi Mao Ravi Netravali Mohammad Alizadeh Neural Adaptive Video Streaming with Pensieve. 197-210 2017 SIGCOMM https://doi.org/10.1145/3098822.3098843 conf/sigcomm/2017 db/conf/sigcomm/sigcomm2017.html#MaoNA17 Hongzi Mao Mohammad Alizadeh Ishai Menache Srikanth Kandula Resource Management with Deep Reinforcement Learning. 50-56 2016 HotNets https://doi.org/10.1145/3005745.3005750 conf/hotnets/2016 db/conf/hotnets/hotnets2016.html#MaoAMK16 Kanthi Nagaraj Dinesh Bharadia Hongzi Mao Sandeep Chinchali Mohammad Alizadeh Sachin Katti NUMFabric: Fast and Flexible Bandwidth Allocation in Datacenters. 188-201 2016 SIGCOMM https://doi.org/10.1145/2934872.2934890 conf/sigcomm/2016 db/conf/sigcomm/sigcomm2016.html#NagarajBMCAK16

Fadel Adib Chen-Yu Hsu 0001 Hongzi Mao Dina Katabi Frédo Durand Capturing the human figure through a wall. 219:1-219:13 2015 34 ACM Trans. Graph. 6 https://doi.org/10.1145/2816795.2818072 db/journals/tog/tog34.html#AdibHMKD15

Fadel Adib Hongzi Mao Zachary Kabelac Dina Katabi Robert C. Miller Smart Homes that Monitor Breathing and Heart Rate. 837-846 2015 CHI https://doi.org/10.1145/2702123.2702200 conf/chi/2015 db/conf/chi/chi2015.html#AdibMKKM15 Fadel Adib Zachary Kabelac Hongzi Mao Dina Katabi Robert C. Miller Demo: real-time breath monitoring using wireless signals. 261-262 2014 MobiCom https://doi.org/10.1145/2639108.2641756 conf/mobicom/2014 db/conf/mobicom/mobicom2014.html#AdibKMKM14 Ravichandra Addanki Fadel Adib Mohammad Alizadeh Jiasong Bai Eytan Bakshy Alex Beutel Dinesh Bharadia Drew Blaisdell Frank Cangialosi Lujing Cen Angie Chen Cheng Chen Shannon Chen Ed H. Chi Ching-Han Chiang Sandeep Chinchali Rene Claus Drew Dimmery Frédo Durand Qing Feng Justin Emile GottschlichJustin Gottschlich Chenjie Gu Shreyan Gupta Jingning Han Song Han 0003 Songtao He Marisabel Hechtman Chen-Yu Hsu 0001 Hongxin Hu Zachary Kabelac Srikanth Kandula Dina Katabi Sachin Katti Andreas Kipf Tim Kraska Ani Kristo Nevena Lazic Guillaume Leclerc Benjamin Letham Nir Levine Samuel Madden 0001 Ryan Marcus Ishai Menache Zili Meng Rob Miller 0001Robert C. Miller Kanthi Nagaraj Akshay Narayan 0001 Vikram Nathan Parimarjan Negi Ravi Netravali Derek Pang Olga Papaemmanouil Malte Schwarzkopf Mehrdad Khani Shirkoohi Shaun Singh Nesime Tatbul Yuandong Tian Shaileshh Bojja Venkatakrishnan Hanrui Wang 0002 Haonan Wang Miaosen Wang Minhu Wang Wei-Hung Weng Mingwei Xu 0001 Jiacheng Yang Chi Zhang 0068