Probabilistic Modeling

Lexical and Hierarchical Topic Regression NeurIPS 2013 Linear Approximation to ADMM for MAP inference ACML 2013 Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013 Marginals-to-Models Reducibility NeurIPS 2013 Markov Network-Based Unified Classifier for Face Identification ICCV 2013 Matrix Completion From any Given Set of Observations NeurIPS 2013 Message Passing Inference with Chemical Reaction Networks NeurIPS 2013 Modeling Information Propagation with Survival Theory ICML 2013 Modeling Overlapping Communities with Node Popularities NeurIPS 2013 Multilinear Dynamical Systems for Tensor Time Series NeurIPS 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Multiscale Dictionary Learning for Estimating Conditional Distributions NeurIPS 2013 Noise-Enhanced Associative Memories NeurIPS 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 On Poisson Graphical Models NeurIPS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 On the Representational Efficiency of Restricted Boltzmann Machines 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 Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs NeurIPS 2013 Principal Component Analysis on non-Gaussian Dependent Data ICML 2013 Probabilistic Elastic Matching for Pose Variant Face Verification CVPR 2013 Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation CVPR 2013