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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.ML2021
Model Uncertainty and Correctability for Directed Graphical Models
Panagiota Birmpa, Jinchao Feng, Markos A. Katsoulakis +1
Probabilistic graphical models are a fundamental tool in probabilistic modeling, machine learning and artificial intelligence. They allow us to integrate in a natural way expert kn…