3 citations · 3 across the 3 of their papers we have counts for
3 papers
math.OC2021
Adaptive smoothing mini-batch stochastic accelerated gradient method for nonsmooth convex stochastic composite optimization
Ruyu Wang, Chao Zhang
This paper considers a class of convex constrained nonsmooth convex stochastic composite optimization problems whose objective function is given by the summation of a differentiabl…
math.OC2021
Mini-batch stochastic Nesterov's smoothing method for constrained convex stochastic composite optimization
Ruyu Wang, Chao Zhang, Lichun Wang +1
This paper considers a class of constrained convex stochastic composite optimization problems whose objective function is given by the summation of a differentiable convex componen…
math.OC2021★ 3 cited
A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds
Chao Zhang, Xiaojun Chen, Shiqian Ma
In this paper, we propose a Riemannian smoothing steepest descent method to minimize a nonconvex and non-Lipschitz function on submanifolds. The generalized subdifferentials on Rie…