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Bayesian Learning

455 directly classified papers

Papers per year

Papers

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NIPS 2013
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
Thompson Sampling for 1-Dimensional Exponential Family Bandits NIPS 2013
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting NIPS 2013
Bayesian Hierarchical Community Discovery NIPS 2013
Augment-and-Conquer Negative Binomial Processes NIPS 2012
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NIPS 2012
Learning with Target Prior NIPS 2012
The Time-Marginalized Coalescent Prior for Hierarchical Clustering NIPS 2012
Bayesian Hierarchical Reinforcement Learning NIPS 2012
Cost-Sensitive Exploration in Bayesian Reinforcement Learning NIPS 2012
Bayesian nonparametric models for ranked data NIPS 2012
Scalable imputation of genetic data with a discrete fragmentation-coagulation process NIPS 2012
Bayesian Probabilistic Co-Subspace Addition NIPS 2012
A nonparametric variable clustering model NIPS 2012
Bayesian models for Large-scale Hierarchical Classification NIPS 2012
Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012
A Coupled Indian Buffet Process Model for Collaborative Filtering ACML 2012
Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection ACML 2012
Variational Bayesian Matching ACML 2012
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization ACML 2012
A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012
Informative Priors for Markov Blanket Discovery AISTATS 2012
Bayesian nonparametric models for bipartite graphs NIPS 2012