Bayesian Learning

Manipulation Pattern Discovery: A Nonparametric Bayesian Approach ICCV 2013 Memoized Online Variational Inference for Dirichlet Process Mixture Models NeurIPS 2013 Message passing with l1 penalized KL minimization ICML 2013 Multi-class Video Co-segmentation with a Generative Multi-video Model CVPR 2013 Multiscale Dictionary Learning for Estimating Conditional Distributions NeurIPS 2013 Multi-Task Bayesian Optimization NeurIPS 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NeurIPS 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NeurIPS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Policy Shaping: Integrating Human Feedback with Reinforcement Learning NeurIPS 2013 Prior-free and prior-dependent regret bounds for Thompson Sampling NeurIPS 2013 Quasi-Newton Method: A New Direction JMLR 2013 Real-Time Inference for a Gamma Process Model of Neural Spiking NeurIPS 2013 Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively NeurIPS 2013 Reconciling "priors" & "priors" without prejudice? NeurIPS 2013 Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013 Relevance Topic Model for Unstructured Social Group Activity Recognition NeurIPS 2013 Restricting exchangeable nonparametric distributions NeurIPS 2013 Sparse Single-Index Model JMLR 2013 Spike train entropy-rate estimation using hierarchical Dirichlet process priors NeurIPS 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013