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

Giacomo Borghi, José A. Carrillo

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 ba…