Robert Nishihara

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	すべて	2020 年以来
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Philipp MoritzGraduate Student, UC Berkeley確認したメールアドレス: berkeley.edu
Ion StoicaProfessor of Computer Science, UC Berkeley確認したメールアドレス: cs.berkeley.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley確認したメールアドレス: cs.berkeley.edu
Richard LiawAnyscale確認したメールアドレス: berkeley.edu
Eric LiangUC Berkeley確認したメールアドレス: berkeley.edu
Stephanie WangPhD student, UC Berkeley確認したメールアドレス: cs.berkeley.edu
Alexey TumanovGeorgia Institute of Technology確認したメールアドレス: gatech.edu
Joseph E. GonzalezProfessor of Computer Science, UC Berkeley確認したメールアドレス: berkeley.edu
Melih ElibolNVIDIA確認したメールアドレス: nvidia.com
Ken GoldbergProfessor, UC Berkeley and UCSF確認したメールアドレス: berkeley.edu
Roy FoxAssistant Professor, UC Irvine確認したメールアドレス: uci.edu
Zongheng YangUC Berkeley確認したメールアドレス: berkeley.edu
Leon BottouFacebook AI Research確認したメールアドレス: bottou.org
David Lopez-PazFAIR at Meta確認したメールアドレス: fb.com
Benjamin RechtProfessor of EECS, University of California, Berkeley確認したメールアドレス: eecs.berkeley.edu
Laurent LessardAssociate Professor, Northeastern University確認したメールアドレス: northeastern.edu
Andrew PackardProfessor, Mech Eng, UC Berkeley確認したメールアドレス: berkeley.edu
Soumith ChintalaMeta AI確認したメールアドレス: nyu.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH確認したメールアドレス: tuebingen.mpg.de
Ryan P. AdamsPrinceton University確認したメールアドレス: princeton.edu

フォロー

Robert Nishihara

Anyscale

確認したメールアドレス: eecs.berkeley.edu - ホームページ

machine learning artificial intelligence distributed systems


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Ray: A distributed framework for emerging {AI} applications P Moritz, R Nishihara, S Wang, A Tumanov, R Liaw, E Liang, M Elibol, ... 13th USENIX symposium on operating systems design and implementation (OSDI …, 2018	1573	2018
RLlib: Abstractions for distributed reinforcement learning E Liang, R Liaw, R Nishihara, P Moritz, R Fox, K Goldberg, J Gonzalez, ... International conference on machine learning, 3053-3062, 2018	1312*	2018
Tune: A research platform for distributed model selection and training R Liaw, E Liang, R Nishihara, P Moritz, JE Gonzalez, I Stoica arXiv preprint arXiv:1807.05118, 2018	1225	2018
A general analysis of the convergence of ADMM R Nishihara, L Lessard, B Recht, A Packard, M Jordan International conference on machine learning, 343-352, 2015	386	2015
A linearly-convergent stochastic L-BFGS algorithm P Moritz, R Nishihara, M Jordan Artificial Intelligence and Statistics, 249-258, 2016	323	2016
Discovering causal signals in images D Lopez-Paz, R Nishihara, S Chintala, B Scholkopf, L Bottou Proceedings of the IEEE conference on computer vision and pattern …, 2017	293	2017
Sparknet: Training deep networks in spark P Moritz, R Nishihara, I Stoica, MI Jordan arXiv preprint arXiv:1511.06051, 2015	233	2015
Parallel MCMC with generalized elliptical slice sampling R Nishihara, I Murray, RP Adams The Journal of Machine Learning Research 15 (1), 2087-2112, 2014	102	2014
Real-time machine learning: The missing pieces R Nishihara, P Moritz, S Wang, A Tumanov, W Paul, J Schleier-Smith, ... Proceedings of the 16th workshop on hot topics in operating systems, 106-110, 2017	85	2017
Lineage stash: fault tolerance off the critical path S Wang, J Liagouris, R Nishihara, P Moritz, U Misra, A Tumanov, I Stoica Proceedings of the 27th ACM Symposium on Operating Systems Principles, 338-352, 2019	62	2019
On the convergence rate of decomposable submodular function minimization R Nishihara, S Jegelka, MI Jordan Advances in Neural Information Processing Systems 27, 2014	51	2014
Policy gradient search: Online planning and expert iteration without search trees T Anthony, R Nishihara, P Moritz, T Salimans, J Schulman arXiv preprint arXiv:1904.03646, 2019	32	2019
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems S Zhuang, Z Li, D Zhuo, S Wang, E Liang, R Nishihara, P Moritz, I Stoica Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 641-656, 2021	28	2021
Detecting parameter symmetries in probabilistic models R Nishihara, T Minka, D Tarlow arXiv preprint arXiv:1312.5386, 2013	19	2013
No regret bound for extreme bandits R Nishihara, D Lopez-Paz, L Bottou Artificial Intelligence and Statistics, 259-267, 2016	14	2016
ESCHER: expressive scheduling with ephemeral resources R Bhardwaj, A Tumanov, S Wang, R Liaw, P Moritz, R Nishihara, I Stoica Proceedings of the 13th Symposium on Cloud Computing, 47-62, 2022	6	2022
On Systems and Algorithms for Distributed Machine Learning R Nishihara UC Berkeley, 2019	1	2019
Flexible Primitives for Distributed Deep Learning in Ray Y Bulatov, R Nishihara, P Moritz, M Elibol, I Stoica, MI Jordan SysML Conference, 2018	1	2018

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