Bayesian Learning

Slice sampling covariance hyperparameters of latent Gaussian models NeurIPS 2010 Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010 Synergies in learning words and their referents NeurIPS 2010 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NeurIPS 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 From PAC-Bayes Bounds to KL Regularization NeurIPS 2009 Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NeurIPS 2009 Hierarchical Learning of Dimensional Biases in Human Categorization NeurIPS 2009 Indian Buffet Processes with Power-law Behavior NeurIPS 2009 Modeling the spacing effect in sequential category learning NeurIPS 2009 Modelling Relational Data using Bayesian Clustered Tensor Factorization NeurIPS 2009 Multi-Label Prediction via Sparse Infinite CCA NeurIPS 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NeurIPS 2009 Nonparametric Bayesian Texture Learning and Synthesis NeurIPS 2009 Nonparametric Latent Feature Models for Link Prediction NeurIPS 2009 Sequential effects reflect parallel learning of multiple environmental regularities NeurIPS 2009 Sharing Features among Dynamical Systems with Beta Processes NeurIPS 2009 Sparse Estimation Using General Likelihoods and Non-Factorial Priors NeurIPS 2009 Variational Inference for the Nested Chinese Restaurant Process NeurIPS 2009 Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008 Bayesian Kernel Shaping for Learning Control NeurIPS 2008 Exact Convex Confidence-Weighted Learning NeurIPS 2008