prior distribution

Tensorize, Factorize and Regularize: Robust Visual Relationship Learning CVPR 2018 A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017 Post-Inference Prior Swapping ICML 2017 Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NeurIPS 2015 A Framework for Testing Identifiability of Bayesian Models of Perception NeurIPS 2014 On Prior Distributions and Approximate Inference for Structured Variables NeurIPS 2014 Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014 Bayesian entropy estimation for binary spike train data using parametric prior knowledge NeurIPS 2013 Prior-free and prior-dependent regret bounds for Thompson Sampling NeurIPS 2013 Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NeurIPS 2012 EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012 PAC-Bayes Bounds with Data Dependent Priors JMLR 2012 The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011 An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010 Functional form of motion priors in human motion perception NeurIPS 2010 PAC-Bayesian Model Selection for Reinforcement Learning NeurIPS 2010 Tighter PAC-Bayes Bounds NeurIPS 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