2022
Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM
NeurIPS 2022accept
Many problems in machine learning can be formulated as optimizing a convex functional over a vector space of measures. This paper studies the convergence of the mirror descent algorithm in this infinite-dimensional setting. Defining Bregman divergences through directional derivatives, we derive the…