Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures

26 Feb 2020 Alex Luedtke Incheoul Chung Oleg Sofrygin

We frame the meta-learning of prediction procedures as a search for an optimal strategy in a two-player game. In this game, Nature selects a prior over distributions that generate labeled data consisting of features and an associated outcome, and the Predictor observes data sampled from a distribution drawn from this prior... (read more)

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