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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NIPS 2013
Policy Shaping: Integrating Human Feedback with Reinforcement Learning NIPS 2013
Reconciling "priors" & "priors" without prejudice? NIPS 2013
Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NIPS 2013
Summary Statistics for Partitionings and Feature Allocations NIPS 2013
Relevance Topic Model for Unstructured Social Group Activity Recognition NIPS 2013
Context-sensitive active sensing in humans NIPS 2013
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NIPS 2013
EDML for Learning Parameters in Directed and Undirected Graphical Models NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
Bayesian optimization explains human active search NIPS 2013
Burn-in, bias, and the rationality of anchoring NIPS 2012
Bayesian nonparametric models for ranked data NIPS 2012
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making NIPS 2012
Modelling Reciprocating Relationships with Hawkes Processes NIPS 2012
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Perfect Dimensionality Recovery by Variational Bayesian PCA NIPS 2012
Coupling Nonparametric Mixtures via Latent Dirichlet Processes NIPS 2012
Cost-Sensitive Exploration in Bayesian Reinforcement Learning NIPS 2012
Augment-and-Conquer Negative Binomial Processes NIPS 2012
Bayesian Hierarchical Reinforcement Learning NIPS 2012
Active Learning of Model Evidence Using Bayesian Quadrature NIPS 2012
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NIPS 2012