12 citations · 12 across the 3 of their papers we have counts for
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math.OC2020
Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems
Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang +2
While many distributed optimization algorithms have been proposed for solving smooth or convex problems over the networks, few of them can handle non-convex and non-smooth problems…
math.OC2020★ 12 cited
A global dual error bound and its application to the analysis of linearly constrained nonconvex optimization
Jiawei Zhang, Zhiquan Luo
Error bound analysis, which estimates the distance of a point to the solution set of an optimization problem using the optimality residual, is a powerful tool for the analysis of f…
math.OC2018
A Proximal Alternating Direction Method of Multiplier for Linearly Constrained Nonconvex Minimization
Jiawei Zhang, Zhi-Quan Luo
Consider the minimization of a nonconvex differentiable function over a polyhedron. A popular primal-dual first-order method for this problem is to perform a gradient projection it…