Predictively Oriented Posteriors
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RCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
In this talk, I will explain how we can construct a family of post-Bayesian methods that predictively dominate Bayes posteriors and Gibbs posteriors alike.
This talk is part of the Isaac Newton Institute Seminar Series series.
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