Robust Probabilistic Modeling with Bayesian Data Reweighting
ICML, pp. 3646-3655, 2017.
Probabilistic models analyze data by relying on a set of assumptions. Data that exhibit deviations from these assumptions can undermine inference and prediction quality. Robust models offer protection against mismatch between a modelu0027s assumptions and reality. We propose a way to systematically detect and mitigate mismatch of a large ...More
PPT (Upload PPT)