2023
A constrained Bayesian approach to out-of-distribution prediction
UAI 2023poster
Consider the problem of out-of-distribution prediction given data from multiple environments. While a sufficiently diverse collection of training environments will facilitate the identification of an invariant predictor, with an optimal generalization performance, many applications only provide us w…