Jose Carrillo

Variational inference via Gaussian interacting particles in the Bures-Wasserstein geometry

Motivated by variational inference methods, we propose a zeroth-order algorithm for solving optimization problems in the space of Gaussian probability measures. The algorithm is based on an interacting system of Gaussian particles that stochastically explore the search space and self-organize around…