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Bayesian Learning

455 directly classified papers

Papers per year

Papers

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
Bounds on Individual Risk for Log-loss Predictors COLT 2011
Optimal aggregation of affine estimators COLT 2011
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NIPS 2011
Synergies in learning words and their referents NIPS 2010
Probabilistic Multi-Task Feature Selection NIPS 2010
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010
Gaussian Process Preference Elicitation NIPS 2010
Copula Bayesian Networks NIPS 2010
Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010
Bayesian Generalized Kernel Models AISTATS 2010
Multi-Task Learning using Generalized t Process AISTATS 2010
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Bayesian structure discovery in Bayesian networks with less space AISTATS 2010
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Probabilistic Deterministic Infinite Automata NIPS 2010
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010
Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010