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Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism

Oct 31, 2020
Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez

* Preprint. Under review 

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FetchSGD: Communication-Efficient Federated Learning with Sketching

Jul 15, 2020
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora


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Variable Skipping for Autoregressive Range Density Estimation

Jul 10, 2020
Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen

* ICML 2020. Code released at: https://var-skip.github.io/ 

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Contrastive Code Representation Learning

Jul 09, 2020
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica


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Ansor : Generating High-Performance Tensor Programs for Deep Learning

Jun 15, 2020
Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica


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NeuroCard: One Cardinality Estimator for All Tables

Jun 15, 2020
Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica


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ProTuner: Tuning Programs with Monte Carlo Tree Search

May 27, 2020
Ameer Haj-Ali, Hasan Genc, Qijing Huang, William Moses, John Wawrzynek, Krste Asanović, Ion Stoica


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Mechanism Design with Bandit Feedback

Apr 19, 2020
Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica


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AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning

Mar 04, 2020
Qijing Huang, Ameer Haj-Ali, William Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek

* arXiv admin note: text overlap with arXiv:1901.04615 

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Hoplite: Efficient Collective Communication for Task-Based Distributed Systems

Feb 13, 2020
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica


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IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks

Jan 23, 2020
Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica

* ICLR 2020 Publication; 14 pages, 10 figures 

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HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline

Jan 08, 2020
Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov


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Hierarchical Variational Imitation Learning of Control Programs

Dec 29, 2019
Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica


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Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures

Dec 07, 2019
Hasan Genc, Ameer Haj-Ali, Vighnesh Iyer, Alon Amid, Howard Mao, John Wright, Colin Schmidt, Jerry Zhao, Albert Ou, Max Banister, Yakun Sophia Shao, Borivoje Nikolic, Ion Stoica, Krste Asanovic


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Blink: Fast and Generic Collectives for Distributed ML

Oct 11, 2019
Guanhua Wang, Shivaram Venkataraman, Amar Phanishayee, Jorgen Thelin, Nikhil Devanur, Ion Stoica


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Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization

Oct 07, 2019
Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph E. Gonzalez


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A View on Deep Reinforcement Learning in System Optimization

Sep 04, 2019
Ameer Haj-Ali, Nesreen K. Ahmed, Ted Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica


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Helen: Maliciously Secure Coopetitive Learning for Linear Models

Sep 03, 2019
Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica

* IEEE S&P 2019 

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Deep Reinforcement Learning in System Optimization

Aug 07, 2019
Ameer Haj-Ali, Nesreen K. Ahmed, Ted Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica


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Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules

May 14, 2019
Daniel Ho, Eric Liang, Ion Stoica, Pieter Abbeel, Xi Chen

* ICML 2019 

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Selectivity Estimation with Deep Likelihood Models

May 10, 2019
Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica


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SysML: The New Frontier of Machine Learning Systems

May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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Communication-efficient distributed SGD with Sketching

Mar 12, 2019
Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora

* 21 pages, 6 figures 

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