2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
AAAI 2024technical
Out-of-distribution (OOD) generalization has long been a challenging problem that remains largely unsolved. Gaussian processes (GP), as popular probabilistic model classes, especially in the small data regime, presume strong OOD generalization abilities. Surprisingly, their OOD generalization abilit…