Online Variance Reduction with Mixtures

Zalán Borsos, Sebastian Curi, Kfir Yehuda Levy, Andreas Krause

Abstract: Adaptive importance sampling for stochastic optimization is a promising approach that offers improved convergence through variance reduction. In this work, we propose a new framework for variance r...