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Robert Nishihara
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2020 – today
- 2022
- [c12]Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica:
ESCHER: expressive scheduling with ephemeral resources. SoCC 2022: 47-62 - 2021
- [c11]Siyuan Zhuang, Zhuohan Li, Danyang Zhuo
, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica:
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems. SIGCOMM 2021: 641-656 - 2020
- [i11]Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica:
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems. CoRR abs/2002.05814 (2020)
2010 – 2019
- 2019
- [b1]Robert Nishihara:
On Systems and Algorithms for Distributed Machine Learning. University of California, Berkeley, USA, 2019 - [c10]Stephanie Wang, John Liagouris
Lineage stash: fault tolerance off the critical path. SOSP 2019: 338-352 - [i10]Thomas Anthony, Robert Nishihara, Philipp Moritz, Tim Salimans, John Schulman:
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees. CoRR abs/1904.03646 (2019) - 2018
- [c9]Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica:
RLlib: Abstractions for Distributed Reinforcement Learning. ICML 2018: 3059-3068 - [c8]Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica:
Ray: A Distributed Framework for Emerging AI Applications. OSDI 2018: 561-577 - [i9]Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E. Gonzalez, Ion Stoica:
Tune: A Research Platform for Distributed Model Selection and Training. CoRR abs/1807.05118 (2018) - 2017
- [c7]David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf
Discovering Causal Signals in Images. CVPR 2017: 58-66 - [c6]Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan
Real-Time Machine Learning: The Missing Pieces. HotOS 2017: 106-110 - [i8]Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Michael I. Jordan, Ion Stoica:
Real-Time Machine Learning: The Missing Pieces. CoRR abs/1703.03924 (2017) - [i7]Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, William Paul, Michael I. Jordan, Ion Stoica:
Ray: A Distributed Framework for Emerging AI Applications. CoRR abs/1712.05889 (2017) - [i6]Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica:
Ray RLLib: A Composable and Scalable Reinforcement Learning Library. CoRR abs/1712.09381 (2017) - 2016
- [c5]Philipp Moritz, Robert Nishihara, Michael I. Jordan:
A Linearly-Convergent Stochastic L-BFGS Algorithm. AISTATS 2016: 249-258 - [c4]Robert Nishihara, David Lopez-Paz, Léon Bottou:
No Regret Bound for Extreme Bandits. AISTATS 2016: 259-267 - [c3]Philipp Moritz, Robert Nishihara, Ion Stoica, Michael I. Jordan:
SparkNet: Training Deep Networks in Spark. ICLR (Poster) 2016 - [i5]David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou:
Discovering Causal Signals in Images. CoRR abs/1605.08179 (2016) - 2015
- [c2]Robert Nishihara, Laurent Lessard, Benjamin Recht, Andrew K. Packard, Michael I. Jordan:
A General Analysis of the Convergence of ADMM. ICML 2015: 343-352 - [i4]Robert Nishihara, Laurent Lessard, Benjamin Recht, Andrew K. Packard, Michael I. Jordan:
A General Analysis of the Convergence of ADMM. CoRR abs/1502.02009 (2015) - [i3]Philipp Moritz, Robert Nishihara, Michael I. Jordan:
A Linearly-Convergent Stochastic L-BFGS Algorithm. CoRR abs/1508.02087 (2015) - [i2]Robert Nishihara, David Lopez-Paz, Léon Bottou:
No Regret Bound for Extreme Bandits. CoRR abs/1508.02933 (2015) - 2014
- [j1]Robert Nishihara, Iain Murray, Ryan P. Adams:
Parallel MCMC with generalized elliptical slice sampling. J. Mach. Learn. Res. 15(1): 2087-2112 (2014) - [c1]Robert Nishihara, Stefanie Jegelka, Michael I. Jordan:
On the Convergence Rate of Decomposable Submodular Function Minimization. NIPS 2014: 640-648 - [i1]Robert Nishihara, Stefanie Jegelka, Michael I. Jordan:
On the Convergence Rate of Decomposable Submodular Function Minimization. CoRR abs/1406.6474 (2014)
Coauthor Index
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