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prior distribution
prior distribution
61 papers
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bayesian inference
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variational autoencoder
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posterior distribution
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generative model
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uncertainty quantification
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pac-bayes bound
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Papers
Bayesian entropy estimation for binary spike train data using parametric prior knowledge
NIPS 2013
EP-GIG Priors and Applications in Bayesian Sparse Learning
JMLR 2012
PAC-Bayes Bounds with Data Dependent Priors
JMLR 2012
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference
NIPS 2012
The Sample Complexity of Self-Verifying Bayesian Active Learning
AISTATS 2011
Functional form of motion priors in human motion perception
NIPS 2010
An Alternative Prior Process for Nonparametric Bayesian Clustering
AISTATS 2010
PAC-Bayesian Model Selection for Reinforcement Learning
NIPS 2010
Tighter PAC-Bayes Bounds
NIPS 2006
A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes
JMLR 2005
Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms
JMLR 2001
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