Bayesian Learning
A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of statistical model) that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). (Wikipedia)
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Estimating the Rate-Distortion Function by Wasserstein Gradient Descent Yibo Yang 1 Stephan Eckstein 2 Marcel Nutz 3 Stephan Mandt 1 1
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In this work, we propose a new approach to R-D estimation from the perspective of optimal transport.
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Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
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Our experiments show that Genfer is often faster than the existing exact inference tools PSI, Dice, and Prodigy.
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