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02/13/2020
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems
Collective communication systems such as MPI offer high performance grou...
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04/07/2019
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees
Monte Carlo Tree Search (MCTS) algorithms perform simulation-based searc...
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07/13/2018
Tune: A Research Platform for Distributed Model Selection and Training
Modern machine learning algorithms are increasingly computationally dema...
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12/26/2017
Ray RLLib: A Composable and Scalable Reinforcement Learning Library
Reinforcement learning (RL) algorithms involve the deep nesting of disti...
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12/16/2017
Ray: A Distributed Framework for Emerging AI Applications
The next generation of AI applications will continuously interact with t...
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05/26/2016
Discovering Causal Signals in Images
This paper establishes the existence of observable footprints that revea...
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11/19/2015
SparkNet: Training Deep Networks in Spark
Training deep networks is a time-consuming process, with networks for ob...
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08/12/2015
No Regret Bound for Extreme Bandits
Algorithms for hyperparameter optimization abound, all of which work wel...
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08/09/2015
A Linearly-Convergent Stochastic L-BFGS Algorithm
We propose a new stochastic L-BFGS algorithm and prove a linear converge...
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12/19/2013
Detecting Parameter Symmetries in Probabilistic Models
Probabilistic models often have parameters that can be translated, scale...
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10/28/2012
