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math.OC2026

A Unified Framework for Iterate Convergence of Bregman Proximal Methods

He Chen, Jiaming Fan, Anthony Man-Cho So

Iterate convergence of Bregman proximal methods (BPMs) has long remained open, especially for nonconvex objectives. Recently, \citet{chen2026skl} made progress by establishing iter…

math.OC2026

On the Iterate Convergence of Bregman Projected Gradient Method

He Chen, Anthony Man-Cho So

The iterate convergence of \textit{Bregman projected gradient method} (BPGM) has remained a long-standing open problem, especially for the widely adopted Shannon entropy kernel. Ex…

math.OC2025

Accelerated Price Adjustment for Fisher Markets with Exact Recovery of Competitive Equilibrium

He Chen, Chonghe Jiang, Anthony Man-Cho So

The canonical price-adjustment process, tâtonnement, typically fails to converge to the exact competitive equilibrium (CE) and requires a high iteration complexity of $\tilde{\math…

math.OC2025

Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization

He Chen, Jiajin Li, Anthony Man-Cho So

Solving bilevel optimization (BLO) problems to global optimality is generally intractable. A common surrogate is to compute a hyper-stationary point -- a stationary point of the hy…

math.OC2024

Computing Competitive Equilibrium for Chores: Linear Convergence and Lightweight Iteration

He Chen, Chonghe Jiang, Anthony Man-Cho So

Competitive equilibrium (CE) for chores has recently attracted significant attention, with many algorithms proposed to approximately compute it. However, existing algorithms either…