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20172026
most citedStochastic Approximation Proximal Method of Multipliers for Convex Stochastic Programming

2 citations · 2 across the 7 of their papers we have counts for

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math.OC2026

A Quadratic-Approximation-Based Stochastic Approximation Method for Weakly Convex Stochastic Programming

Yule Zhang, Benqi Liu, Xiantao Xiao +1

We propose a novel stochastic approximation algorithm, termed PMQSopt, for solving weakly convex stochastic optimization problems involving expectation-valued functions. The algori…

math.OC2026

A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization

Yule Zhang, Benqi Liu, Xiantao Xiao +1

This paper proposes QPALM, a proximal augmented Lagrangian method based on quadratic approximations, for solving nonlinear programming problems with weakly convex objective and con…