Bayesian Learning

Multiscale Community Blockmodel for Network Exploration AISTATS 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 Optimal aggregation of affine estimators COLT 2011 Robust Bayesian Matrix Factorisation AISTATS 2011 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011 A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010 A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation AISTATS 2010 Bayesian Generalized Kernel Models AISTATS 2010 Bayesian structure discovery in Bayesian networks with less space AISTATS 2010 Bayesian variable order Markov models AISTATS 2010 Copula Bayesian Networks NeurIPS 2010 Gaussian Process Preference Elicitation NeurIPS 2010 Global Analytic Solution for Variational Bayesian Matrix Factorization NeurIPS 2010 Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NeurIPS 2010 Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 Learning the context of a category NeurIPS 2010 Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010 Multi-Task Learning using Generalized t Process AISTATS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning NeurIPS 2010 PAC-Bayesian Model Selection for Reinforcement Learning NeurIPS 2010 Probabilistic Deterministic Infinite Automata NeurIPS 2010 Probabilistic Multi-Task Feature Selection NeurIPS 2010