2 citations · 2 across the 3 of their papers we have counts for
3 papers
math.OC2025
On exploration of an interior mirror descent flow for stochastic nonconvex constrained problem
Kuangyu Ding, Kim-Chuan Toh
We study a nonsmooth nonconvex optimization problem defined over nonconvex constraints, where the feasible set is given by the intersection of the closure of an open set and a smoo…
math.OC2024
Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
Nachuan Xiao, Kuangyu Ding, Xiaoyin Hu +1
In this paper, we consider the minimization of a nonsmooth nonconvex objective function over a closed convex subset of , with additional nonsmoot…
math.OC2023★ 2 cited
Adam-family Methods with Decoupled Weight Decay in Deep Learning
Kuangyu Ding, Nachuan Xiao, Kim-Chuan Toh
In this paper, we investigate the convergence properties of a wide class of Adam-family methods for minimizing quadratically regularized nonsmooth nonconvex optimization problems,…