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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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Policy Gradient Search: Online Planning and Expert Iteration without Search Trees


Apr 07, 2019
Thomas Anthony, Robert Nishihara, Philipp Moritz, Tim Salimans, John Schulman


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Ray: A Distributed Framework for Emerging AI Applications


Sep 30, 2018
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica

* 17 pages, 14 figures, 13th USENIX Symposium on Operating Systems Design and Implementation, 2018 

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Tune: A Research Platform for Distributed Model Selection and Training


Jul 13, 2018
Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E. Gonzalez, Ion Stoica

* 8 Pages, Presented at the 2018 ICML AutoML workshop 

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RLlib: Abstractions for Distributed Reinforcement Learning


Jun 29, 2018
Eric Liang, Richard Liaw, Philipp Moritz, Robert Nishihara, Roy Fox, Ken Goldberg, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica

* Published in the International Conference on Machine Learning (ICML 2018), 10 pages 

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Discovering Causal Signals in Images


Oct 31, 2017
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou


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Real-Time Machine Learning: The Missing Pieces


May 19, 2017
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica

* 6 pages, 3 figures 

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A Linearly-Convergent Stochastic L-BFGS Algorithm


Apr 13, 2016
Philipp Moritz, Robert Nishihara, Michael I. Jordan

* 10 pages, 3 figures in International Conference on Artificial Intelligence and Statistics, 2016 

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No Regret Bound for Extreme Bandits


Apr 11, 2016
Robert Nishihara, David Lopez-Paz, Léon Bottou

* 11 pages, International Conference on Artificial Intelligence and Statistics, 2016 

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SparkNet: Training Deep Networks in Spark


Feb 28, 2016
Philipp Moritz, Robert Nishihara, Ion Stoica, Michael I. Jordan

* 12 pages, 7 figures 

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On the Convergence Rate of Decomposable Submodular Function Minimization


Nov 05, 2014
Robert Nishihara, Stefanie Jegelka, Michael I. Jordan

* Neural Information Processing Systems 27, 2014 
* 17 pages, 3 figures 

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Parallel MCMC with Generalized Elliptical Slice Sampling


Jul 24, 2014
Robert Nishihara, Iain Murray, Ryan P. Adams

* Journal of Machine Learning Research 15:2087-2112, 2014 
* 19 pages, 8 figures, 3 algorithms 

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Detecting Parameter Symmetries in Probabilistic Models


Dec 19, 2013
Robert Nishihara, Thomas Minka, Daniel Tarlow

* 24 pages, 8 figures 

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