Bayesian & Probabilistic

Thompson Sampling for 1-Dimensional Exponential Family Bandits NeurIPS 2013 Top-down particle filtering for Bayesian decision trees ICML 2013 Top-Down Regularization of Deep Belief Networks NeurIPS 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Understanding Bayesian Rooms Using Composite 3D Object Models CVPR 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 Using multiple samples to learn mixture models NeurIPS 2013 Using Symmetry and Evolutionary Search to Minimize Sorting Networks JMLR 2013 Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NeurIPS 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 Variational Policy Search via Trajectory Optimization NeurIPS 2013 Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NeurIPS 2013 What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NeurIPS 2013 When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NeurIPS 2013 Σ-Optimality for Active Learning on Gaussian Random Fields NeurIPS 2013 A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 A Composite Likelihood View for Multi-Label Classification AISTATS 2012 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 Affine Independent Variational Inference NeurIPS 2012 Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012 A Generative Model for Parts-based Object Segmentation NeurIPS 2012 Algorithms for Learning Markov Field Policies NeurIPS 2012 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 Ancestor Sampling for Particle Gibbs NeurIPS 2012