Bayesian & Probabilistic

Clamping Variables and Approximate Inference NeurIPS 2014 Clustered factor analysis of multineuronal spike data NeurIPS 2014 Color Transfer Using Probabilistic Moving Least Squares CVPR 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 Concavity of reweighted Kikuchi approximation NeurIPS 2014 Conditional Random Field Autoencoders for Unsupervised Structured Prediction NeurIPS 2014 Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation JMLR 2014 Content-based recommendations with Poisson factorization NeurIPS 2014 Covariance shrinkage for autocorrelated data NeurIPS 2014 Covariance Trees for 2D and 3D Processing CVPR 2014 Decomposing Parameter Estimation Problems NeurIPS 2014 Decoupled Variational Gaussian Inference NeurIPS 2014 Dependent nonparametric trees for dynamic hierarchical clustering NeurIPS 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 Estimation, Information Loss and Exponential Families NeurIPS 2014 Distributed Parameter Estimation in Probabilistic Graphical Models NeurIPS 2014 Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NeurIPS 2014 Diverse Sequential Subset Selection for Supervised Video Summarization NeurIPS 2014 Dual online inference for latent Dirichlet allocation ACML 2014 Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results COLT 2014 Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014 Efficiency of conformalized ridge regression COLT 2014