Bayesian & Probabilistic

Color Transfer Using Probabilistic Moving Least Squares CVPR 2014 Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NeurIPS 2014 Concavity of reweighted Kikuchi approximation NeurIPS 2014 Conditional Random Field Autoencoders for Unsupervised Structured Prediction NeurIPS 2014 Congruency-Based Reranking CVPR 2014 Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model NeurIPS 2014 Consistency of weighted majority votes NeurIPS 2014 Decoupled Variational Gaussian Inference NeurIPS 2014 Dependent nonparametric trees for dynamic hierarchical clustering NeurIPS 2014 Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes ICML 2014 Dirichlet-based Histogram Feature Transform for Image Classification CVPR 2014 Distance-Based Network Recovery under Feature Correlation NeurIPS 2014 Distributed Bayesian Posterior Sampling via Moment Sharing NeurIPS 2014 Distributed Parameter Estimation in Probabilistic Graphical Models NeurIPS 2014 Diverse Sequential Subset Selection for Supervised Video Summarization NeurIPS 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014 Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014 Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014 Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014 Efficient Nonlinear Markov Models for Human Motion CVPR 2014 Efficient State-Space Inference of Periodic Latent Force Models JMLR 2014 Exchangeable Variable Models ICML 2014 Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NeurIPS 2014 Expectation Propagation for Neural Networks with Sparsity-Promoting Priors JMLR 2014 Extended and Unscented Gaussian Processes NeurIPS 2014