40 citations · 115 across the 23 of their papers we have counts for
3 papers · 1 filter
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data
Hyemin Gu, Panagiota Birmpa, Yannis Pantazis +2
We build a new class of generative algorithms capable of efficiently learning an arbitrary target distribution from possibly scarce, high-dimensional data and subsequently generate…
Function-space regularized Rényi divergences
Jeremiah Birrell, Yannis Pantazis, Paul Dupuis +2
We propose a new family of regularized Rényi divergences parametrized not only by the order but also by a variational function space. These new objects are defined by taking th…
-Divergences: Interpolating between -Divergences and Integral Probability Metrics
Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis +2
We develop a rigorous and general framework for constructing information-theoretic divergences that subsume both -divergences and integral probability metrics (IPMs), such as th…