Bayesian Inference
Bayes' Theorem allows a program to infer the probabilities of likely causes from the probabilities of their effects, when what it is given are the probabilities of effects, given the causes.
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Discrete Object Generation with Reversible Inductive Construction
Ari Seff, Wenda Zhou, Farhan Damani, Abigail Doyle, Ryan P. Adams
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Idiographic Personality Gaussian Process for Psychological Assessment
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However, existing frameworks face several interrelated limitations.
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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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Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu
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Proximal Graphical Event Models
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
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