Robert Nishihara

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 17

Top Topics

Gauss Seidel Method

Convergence Rate

Distributed Systems

Reinforcement Learning

Top Venues

Publications

Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica
ESCHER: expressive scheduling with ephemeral resources. SoCC (2022)
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)
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 (2020)
Thomas Anthony, Robert Nishihara, Philipp Moritz, Tim Salimans, John Schulman
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees. CoRR (2019)
Stephanie Wang, John Liagouris, Robert Nishihara, Philipp Moritz, Ujval Misra, Alexey Tumanov, Ion Stoica
Lineage stash: fault tolerance off the critical path. SOSP (2019)
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)
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)
Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E. Gonzalez, Ion Stoica
Tune: A Research Platform for Distributed Model Selection and Training. CoRR (2018)
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica
Real-Time Machine Learning: The Missing Pieces. HotOS (2017)
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 (2017)
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 (2017)
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou
Discovering Causal Signals in Images. CVPR (2017)
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 (2017)
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou
Discovering Causal Signals in Images. CoRR (2016)
Philipp Moritz, Robert Nishihara, Ion Stoica, Michael I. Jordan
SparkNet: Training Deep Networks in Spark. ICLR (Poster) (2016)
Philipp Moritz, Robert Nishihara, Michael I. Jordan
A Linearly-Convergent Stochastic L-BFGS Algorithm. AISTATS (2016)
Robert Nishihara, David Lopez-Paz, Léon Bottou
No Regret Bound for Extreme Bandits. AISTATS (2016)
Robert Nishihara, Laurent Lessard, Benjamin Recht, Andrew K. Packard, Michael I. Jordan
A General Analysis of the Convergence of ADMM. CoRR (2015)
Robert Nishihara, David Lopez-Paz, Léon Bottou
No Regret Bound for Extreme Bandits. CoRR (2015)
Robert Nishihara, Laurent Lessard, Benjamin Recht, Andrew K. Packard, Michael I. Jordan
A General Analysis of the Convergence of ADMM. ICML (2015)
Philipp Moritz, Robert Nishihara, Michael I. Jordan
A Linearly-Convergent Stochastic L-BFGS Algorithm. CoRR (2015)
Robert Nishihara, Stefanie Jegelka, Michael I. Jordan
On the Convergence Rate of Decomposable Submodular Function Minimization. NIPS (2014)
Robert Nishihara, Iain Murray, Ryan P. Adams
Parallel MCMC with generalized elliptical slice sampling. J. Mach. Learn. Res. 15 (1) (2014)
Robert Nishihara, Stefanie Jegelka, Michael I. Jordan
On the Convergence Rate of Decomposable Submodular Function Minimization. CoRR (2014)