Paper ID: 2411.00928

A Bregman firmly nonexpansive proximal operator for baryconvex optimization

Mastane Achab

We present a generalization of the proximal operator defined through a convex combination of convex objectives, where the coefficients are updated in a minimax fashion. We prove that this new operator is Bregman firmly nonexpansive with respect to a Bregman divergence that combines Euclidean and information geometries.

Submitted: Nov 1, 2024