2 citations · 3 across the 2 of their papers we have counts for
2 papers
math.OC2023★ 1 cited
Stochastic Dimension-reduced Second-order Methods for Policy Optimization
Jinsong Liu, Chenghan Xie, Qi Deng +2
In this paper, we propose several new stochastic second-order algorithms for policy optimization that only require gradient and Hessian-vector product in each iteration, making the…
math.OC2022★ 2 cited
DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang, Dongdong Ge, Chang He +3
In this paper, we propose a Dimension-Reduced Second-Order Method (DRSOM) for convex and nonconvex (unconstrained) optimization. Under a trust-region-like framework, our method pre…