Bayesian Inference

Bayes-Optimal Scorers for Bipartite Ranking COLT 2014 Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014 Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NeurIPS 2014 Beta Process Multiple Kernel Learning CVPR 2014 Causal Inference through a Witness Protection Program NeurIPS 2014 Clamping Variables and Approximate Inference NeurIPS 2014 Clustering Hidden Markov Models with Variational HEM JMLR 2014 Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014 Combining 3D Shape, Color, and Motion for Robust Anytime Tracking RSS 2014 Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video CVPR 2014 Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NeurIPS 2014 Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model NeurIPS 2014 Consistency of weighted majority votes NeurIPS 2014 Covariance Trees for 2D and 3D Processing CVPR 2014 Cover Tree Bayesian Reinforcement Learning JMLR 2014 Decomposing Parameter Estimation Problems NeurIPS 2014 Decoupled Variational Gaussian Inference NeurIPS 2014 Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes ICML 2014 Discovering Latent Network Structure in Point Process Data ICML 2014 Distance-Based Network Recovery under Feature Correlation NeurIPS 2014 Distributed Bayesian Posterior Sampling via Moment Sharing NeurIPS 2014 Distributed Stochastic Gradient MCMC ICML 2014 Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NeurIPS 2014 Doubly Stochastic Variational Bayes for non-Conjugate Inference ICML 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014