Strongly convex stochastic online optimization on a unit simplex with application to the mixing least square regression

Anastasia Bayandina, Elena Chernousova, Alexander Gasnikov +1

In this paper we propose a new approach to obtain mixing least square regression estimate by means of stochastic online mirror descent in non-euclidian set-up.