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stat.ML2026
Graph-Informed Adversarial Modeling: Infimal Subadditivity of Interpolative Divergences
Panagiota Birmpa, Eric Joseph Hall
We study adversarial learning when the target distribution factorizes according to a known Bayesian network. For interpolative divergences, including -divergences, we prove…
stat.ML2024
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…