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Advances in nonlinear elliptic and parabolic pdes
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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.
