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06/07/2022
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure
The practicality of reinforcement learning algorithms has been limited d...
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04/23/2020
Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond
Random features is one of the most sought-after research topics in stati...
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06/14/2018
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
In this paper, we study robust large-scale distributed learning in the p...
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03/05/2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
In large-scale distributed learning, security issues have become increas...
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10/01/2013
