Bayesian Inference

On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NeurIPS 2013 On the Asymptotic Optimality of Maximum Margin Bayesian Networks AISTATS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality JMLR 2013 Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing ICML 2013 Orderless Tracking through Model-Averaged Posterior Estimation ICCV 2013 PAC-Bayes-Empirical-Bernstein Inequality NeurIPS 2013 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Parameter Learning and Convergent Inference for Dense Random Fields ICML 2013 Parsing epileptic events using a Markov switching process model for correlated time series ICML 2013 Policy Shaping: Integrating Human Feedback with Reinforcement Learning NeurIPS 2013 Prior-free and prior-dependent regret bounds for Thompson Sampling NeurIPS 2013 Probabilistic Elastic Matching for Pose Variant Face Verification CVPR 2013 Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NeurIPS 2013 Probabilistic Principal Geodesic Analysis NeurIPS 2013 Procrustean Normal Distribution for Non-rigid Structure from Motion CVPR 2013 Proportion Priors for Image Sequence Segmentation ICCV 2013 Quasi-Newton Method: A New Direction JMLR 2013 Randomized Ensemble Tracking ICCV 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 Recognize Human Activities from Partially Observed Videos CVPR 2013 Reconciling "priors" & "priors" without prejudice? NeurIPS 2013 Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013