8 citations · 12 across the 11 of their papers we have counts for
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cs.LG2021★ 8 cited
A general sample complexity analysis of vanilla policy gradient
Rui Yuan, Robert M. Gower, Alessandro Lazaric
We adapt recent tools developed for the analysis of Stochastic Gradient Descent (SGD) in non-convex optimization to obtain convergence and sample complexity guarantees for the vani…
math.OC2021★ 1 cited
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums
Jiabin Chen, Rui Yuan, Guillaume Garrigos +1
We present a principled approach for designing stochastic Newton methods for solving finite sum optimization problems. Our approach has two steps. First, we re-write the stationari…