Bayesian & Probabilistic

Avoiding pathologies in very deep networks AISTATS 2014 Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel AISTATS 2014 Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression RSS 2014 Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Bayesian Active Appearance Models CVPR 2014 Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior CVPR 2014 Bayesian Co-Boosting for Multi-modal Gesture Recognition JMLR 2014 Bayesian Inference for Structured Spike and Slab Priors NeurIPS 2014 Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs JMLR 2014 Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014 Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NeurIPS 2014 Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders JMLR 2014 Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014 Bayesian Sampling Using Stochastic Gradient Thermostats NeurIPS 2014 Bayesian View Synthesis and Image-Based Rendering Principles CVPR 2014 Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014 Beta Diffusion Trees ICML 2014 Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NeurIPS 2014 Beta Process Multiple Kernel Learning CVPR 2014 Black Box Variational Inference AISTATS 2014 Blossom Tree Graphical Models NeurIPS 2014 Causal Inference through a Witness Protection Program NeurIPS 2014 Clamping Variables and Approximate Inference NeurIPS 2014 Clustered factor analysis of multineuronal spike data NeurIPS 2014 Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014