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most citedMemory-Constrained Algorithms for Convex Optimization via Recursive Cutting-Planes

3 citations · 3 across the 5 of their papers we have counts for

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math.OC2025

Efficient Online Mirror Descent Stochastic Approximation for Multi-Stage Stochastic Programming

Junhui Zhang, Patrick Jaillet

We study the unconstrained and the minimax saddle point variants of the convex multi-stage stochastic programming problem, where consecutive decisions are coupled through the objec…

math.OC2025

Multi-Timescale Primal Dual Hybrid Gradient with Application to Distributed Optimization

Junhui Zhang, Patrick Jaillet

We propose two variants of the Primal Dual Hybrid Gradient (PDHG) algorithm for saddle point problems with block decomposable duals, hereafter called Multi-Timescale PDHG (MT-PDHG)…