Sotabase

Career

· Co-Founder, Anyscale2024–
· Co-Founder And CEO, Anyscale2019–2024
· Research Intern (Facebook AI Research), Facebook2015–2015
· Research Intern (Machine Learning And Perception Group), Microsoft Research2013–2013
· PhD, University of California Berkeley2013–2019
· Software Developer Intern, Jane Street2012–2012
· Software Engineer Intern, Google2011–2011
· Intern (Director's Summer Program), National Security Agency2010–2010
· BA, Harvard University2009–2013

Publications (25)

Ray: A Distributed Framework for Emerging AI Applications
USENIX Symposium on Operating Systems Design and Implementation · 2017
1,516
cited
Tune: A Research Platform for Distributed Model Selection and Training
arXiv.org · 2018
1,056
cited
RLlib: Abstractions for Distributed Reinforcement Learning
International Conference on Machine Learning · 2017
981
cited
A General Analysis of the Convergence of ADMM
International Conference on Machine Learning · 2015
323
cited
A Linearly-Convergent Stochastic L-BFGS Algorithm
International Conference on Artificial Intelligence and Statistics · 2015
253
cited
Discovering Causal Signals in Images
Computer Vision and Pattern Recognition · 2016
243
cited
Ray RLLib: A Composable and Scalable Reinforcement Learning Library
Neural Information Processing Systems · 2017
178
cited
SparkNet: Training Deep Networks in Spark
International Conference on Learning Representations · 2015
175
cited
Parallel MCMC with generalized elliptical slice sampling
Journal of machine learning research · 2012
88
cited
Real-Time Machine Learning: The Missing Pieces
USENIX Workshop on Hot Topics in Operating Systems · 2017
64
cited
Lineage stash: fault tolerance off the critical path
Symposium on Operating Systems Principles · 2019
55
cited
On the Convergence Rate of Decomposable Submodular Function Minimization
Neural Information Processing Systems · 2014
44
cited
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees
arXiv.org · 2019
30
cited
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems
Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication · 2020
28
cited
Detecting Parameter Symmetries in Probabilistic Models
2013
19
cited
No Regret Bound for Extreme Bandits
International Conference on Artificial Intelligence and Statistics · 2015
10
cited
ESCHER: expressive scheduling with ephemeral resources
ACM Symposium on Cloud Computing · 2022
7
cited
Generalizing Elliptical Slice Sampling for Parallel MCMC
2012
1
cited
Ray RLlib: A Framework for Distributed Reinforcement Learning
2017
1
cited
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems
arXiv.org · 2020
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Robert Nishihara | Researcher Profile | Sotabase | Sotabase