Abstract
The logarithmic divergence is an extension of the Bregman divergence motivated by optimal transport and a generalized convex duality, and satisfies many remarkable properties. Using the geometry induced by the logarithmic divergence, we introduce a generalization of continuous time mirror descent that we term the conformal mirror descent. We derive its dynamics under a generalized mirror map, and show that it is a time change of a corresponding Hessian gradient flow. We also prove convergence results in continuous time. We apply the conformal mirror descent to online estimation of a generalized exponential family, and construct a family of gradient flows on the unit simplex via the Dirichlet optimal transport problem.
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Kainth, A. S., Wong, T. K. L., & Rudzicz, F. (2023). Conformal mirror descent with logarithmic divergences. Information Geometry, 7, 303–327. https://doi.org/10.1007/s41884-022-00089-3
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