Robert Nishihara
Robert Nishihara
PhD student, UC Berkeley
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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 …, 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
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
Sparknet: Training deep networks in spark
P Moritz, R Nishihara, I Stoica, MI Jordan
arXiv preprint arXiv:1511.06051, 2015
A linearly-convergent stochastic L-BFGS algorithm
P Moritz, R Nishihara, M Jordan
Artificial Intelligence and Statistics, 249-258, 2016
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
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
Parallel MCMC with generalized elliptical slice sampling
R Nishihara, I Murray, RP Adams
The Journal of Machine Learning Research 15 (1), 2087-2112, 2014
On the convergence rate of decomposable submodular function minimization
R Nishihara, S Jegelka, MI Jordan
arXiv preprint arXiv:1406.6474, 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
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
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
Detecting parameter symmetries in probabilistic models
R Nishihara, T Minka, D Tarlow
arXiv preprint arXiv:1312.5386, 2013
No regret bound for extreme bandits
R Nishihara, D Lopez-Paz, L Bottou
Artificial Intelligence and Statistics, 259-267, 2016
Flexible Primitives for Distributed Deep Learning in Ray
Y Bulatov, R Nishihara, P Moritz, M Elibol, I Stoica, MI Jordan
SysML Conference, 2018
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems
S Zhuang, Z Li, D Zhuo, S Wang, E Liang, R Nishihara, P Moritz, I Stoica
arXiv preprint arXiv:2002.05814, 2020
On Systems and Algorithms for Distributed Machine Learning
R Nishihara
UC Berkeley, 2019
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Artículos 1–17