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03/31/2022
Data Sampling Affects the Complexity of Online SGD over Dependent Data
Conventional machine learning applications typically assume that data sa...
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12/22/2021
Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning
Alternating gradient-descent-ascent (AltGDA) is an optimization algorith...
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03/30/2021
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
Greedy-GQ is a value-based reinforcement learning (RL) algorithm for opt...
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10/26/2020
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis
Variance reduction techniques have been successfully applied to temporal...
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07/07/2020