Probabilistic Model-Agnostic Meta-Learning

Chelsea Finn, Kelvin Xu, Sergey Levine

Neural Information Processing Systems 

In this paper, we propose a probabilistic meta-learning algorithm that can sample models for a new task from a model distribution.