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Bayesian Learning

455 papers

Papers per year

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11
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Papers

Learning with Target Prior NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data 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
Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
Informative Priors for Markov Blanket Discovery AISTATS 2012
A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012
The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012
PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012
Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012
Learning to Learn with Compound HD Models NIPS 2011
Robust Multi-Class Gaussian Process Classification NIPS 2011
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NIPS 2011
Nonlinear Inverse Reinforcement Learning with Gaussian Processes NIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
Crowdclustering NIPS 2011
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NIPS 2011
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NIPS 2011
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011