Broximal Point Method

The Broximal Point Method and Its Impact on Optimization Theory and Machine Learning

Peter Richtarik, Professor, Computer Science

Sep 21, 12:00 - 13:00

B9 R2325

Broximal Point Method proximal algorithms machine learning gradient methods

This talk introduces the Broximal Point Method (BPM), a condition-number-free alternative to classical proximal methods, that replaces proximal penalties with ball constraints, surveys its theoretical extensions and distributed variants, and explains how approximate non-Euclidean Brox updates underpin practical machine learning optimizers.