Search Results for author: Ming-Han Yang

Found 8 papers, 1 papers with code

Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods

no code implementations CVPR 2021 Ming-Han Yang, Dong Xu, Hongyu Chen, Zaiwen Wen, Mengyun Chen

In this paper, we consider stochastic second-order methods for minimizing a finite summation of nonconvex functions.

Second-order methods

Sketchy Empirical Natural Gradient Methods for Deep Learning

1 code implementation10 Jun 2020 Ming-Han Yang, Dong Xu, Zaiwen Wen, Mengyun Chen, Pengxiang Xu

Experiments on the distributed large-batch training show that the scaling efficiency is quite reasonable.

A Stochastic Extra-Step Quasi-Newton Method for Nonsmooth Nonconvex Optimization

no code implementations21 Oct 2019 Ming-Han Yang, Andre Milzarek, Zaiwen Wen, Tong Zhang

In this paper, a novel stochastic extra-step quasi-Newton method is developed to solve a class of nonsmooth nonconvex composite optimization problems.

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