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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On Tractable Computation of Expected Predictions
Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
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Counting the Optimal Solutions in Graphical Models
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Learning convex bounds for linear quadratic control policy synthesis
Jack Umenberger, Thomas B. Schön
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Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task
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The Broad Optimality of Profile Maximum Likelihood
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Proximal Graphical Event Models
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
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Parsimonious Bayesian deep networks
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