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Bayesian Learning

455 papers

Papers per year

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11
42
10
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Papers

The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011
Bagged Structure Learning of Bayesian Network AISTATS 2011
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks AISTATS 2011
Multiscale Community Blockmodel for Network Exploration AISTATS 2011
Robust Bayesian Matrix Factorisation AISTATS 2011
Bayesian Hierarchical Cross-Clustering AISTATS 2011
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011
Dependent Hierarchical Beta Process for Image Interpolation and Denoising AISTATS 2011
Optimal aggregation of affine estimators COLT 2011
Bounds on Individual Risk for Log-loss Predictors COLT 2011
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NIPS 2010
Copula Bayesian Networks NIPS 2010
Gaussian Process Preference Elicitation NIPS 2010
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
Probabilistic Multi-Task Feature Selection NIPS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
Synergies in learning words and their referents NIPS 2010
Probabilistic Deterministic Infinite Automata NIPS 2010
Learning the context of a category NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Bayesian variable order Markov models AISTATS 2010
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation AISTATS 2010
Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010