Author

Han-Min Li

2 papers indexed here

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Preprint Sep 2026

A Sharper Theory of Ball-Proximal Optimization: Convergence and Radius Selection

We study the exact Euclidean ball-proximal point method for proper, closed, convex functions, where each iteration minimizes the objective over a ball centered at the current point. Retaining the objective gap in the decrease of squared distance yields sharper bounds on objective values, stationarity, and the symmetric...

Peter Richtárik, Han-Min Li · 0 citations

#machine learning Preprint May 2026

Broximal Gradient Descent: A Projection-Free Sister of Projected Gradient Descent

BroxGD is proposed, a projection-free sister method to projected gradient descent for constrained optimization for constrained optimization that expects to find many applications and inspire numerous extensions, much like projected gradient descent.

Peter Richtárik, Kaja Gruntkowska, Han-Min Li · 0 citations