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stat.ML2026

Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference

Jasraj Singh, Shelvia Wongso, Jeremie Houssineau +1

Variational inference (VI) is a cornerstone of modern Bayesian learning, enabling approximate inference in complex models. However, its formulation depends on expectations and dive…