Robert Nishihara

25 papers A* 7A 3Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2022 — conf
ESCHER: expressive scheduling with ephemeral resources.
SoCC
Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica
2021 A* conf
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems.
SIGCOMM
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
2020 J jnl
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems.
CoRR
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
2019 A* conf
Lineage stash: fault tolerance off the critical path.
SOSP
Stephanie Wang, John Liagouris, Robert Nishihara, Philipp Moritz, Ujval Misra, Alexey Tumanov, Ion Stoica
2019 — —
On Systems and Algorithms for Distributed Machine Learning.
Robert Nishihara
2019 J jnl
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees.
CoRR
Thomas Anthony, Robert Nishihara, Philipp Moritz, Tim Salimans, John Schulman
2018 A* conf
RLlib: Abstractions for Distributed Reinforcement Learning.
ICML
Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
2018 A* conf
Ray: A Distributed Framework for Emerging AI Applications.
OSDI
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica
2018 J jnl
Tune: A Research Platform for Distributed Model Selection and Training.
CoRR
Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E. Gonzalez, Ion Stoica
2017 A* conf
Discovering Causal Signals in Images.
CVPR
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou
2017 J jnl
Ray RLLib: A Composable and Scalable Reinforcement Learning Library.
CoRR
Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica
2017 J jnl
Ray: A Distributed Framework for Emerging AI Applications.
CoRR
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, William Paul, Michael I. Jordan, Ion Stoica
2017 A conf
Real-Time Machine Learning: The Missing Pieces.
HotOS
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica
2017 J jnl
Real-Time Machine Learning: The Missing Pieces.
CoRR
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica
2016 A conf
A Linearly-Convergent Stochastic L-BFGS Algorithm.
AISTATS
Philipp Moritz, Robert Nishihara, Michael I. Jordan
2016 J jnl
Discovering Causal Signals in Images.
CoRR
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou
2016 A conf
No Regret Bound for Extreme Bandits.
AISTATS
Robert Nishihara, David Lopez-Paz, Léon Bottou
2016 A* conf
SparkNet: Training Deep Networks in Spark.
ICLR (Poster)
Philipp Moritz, Robert Nishihara, Ion Stoica, Michael I. Jordan
2015 A* conf
A General Analysis of the Convergence of ADMM.
ICML
Robert Nishihara, Laurent Lessard, Benjamin Recht, Andrew K. Packard, Michael I. Jordan
2015 J jnl
A General Analysis of the Convergence of ADMM.
CoRR
Robert Nishihara, Laurent Lessard, Benjamin Recht, Andrew K. Packard, Michael I. Jordan
2015 J jnl
A Linearly-Convergent Stochastic L-BFGS Algorithm.
CoRR
Philipp Moritz, Robert Nishihara, Michael I. Jordan
2015 J jnl
No Regret Bound for Extreme Bandits.
CoRR
Robert Nishihara, David Lopez-Paz, Léon Bottou
2014 — conf
On the Convergence Rate of Decomposable Submodular Function Minimization.
NIPS
Robert Nishihara, Stefanie Jegelka, Michael I. Jordan
2014 J jnl
On the Convergence Rate of Decomposable Submodular Function Minimization.
CoRR
Robert Nishihara, Stefanie Jegelka, Michael I. Jordan
2014 J jnl
Parallel MCMC with generalized elliptical slice sampling.
J. Mach. Learn. Res.
Robert Nishihara, Iain Murray, Ryan P. Adams