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stat.ML2022
Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector Problems
Chris Junchi Li, Michael I. Jordan
Motivated by the problem of online canonical correlation analysis, we propose the \emph{Stochastic Scaled-Gradient Descent} (SSGD) algorithm for minimizing the expectation of a sto…
stat.ML2022★ 1 cited
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning
Koulik Khamaru, Eric Xia, Martin J. Wainwright +1
Various algorithms for reinforcement learning (RL) exhibit dramatic variation in their convergence rates as a function of problem structure. Such problem-dependent behavior is not…