Empirical Bayes 1-bit matrix completion

The episode discusses Takeru Matsuda's paper, "Empirical Bayes 1-bit matrix completion," which develops a Bayesian method for filling missing values in binary matrices. The method uses an empirical Bayes approach with an independent Gaussian prior on each row, estimating hyperparameters via Monte Carlo EM to derive predictive distributions that include uncertainty.

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