Bayesian & Probabilistic

A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions CVPR 2014 A provable SVD-based algorithm for learning topics in dominant admixture corpus NeurIPS 2014 A reversible infinite HMM using normalised random measures ICML 2014 A* Sampling NeurIPS 2014 Asymmetrical Gauss Mixture Models for Point Sets Matching CVPR 2014 Asynchronous Anytime Sequential Monte Carlo NeurIPS 2014 Augur: Data-Parallel Probabilistic Modeling NeurIPS 2014 Automated Variational Inference for Gaussian Process Models NeurIPS 2014 Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning NeurIPS 2014 Avoiding pathologies in very deep networks AISTATS 2014 Bayesian Inference for Structured Spike and Slab Priors NeurIPS 2014 Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014 Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts ICML 2014 Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014 Bayesian Sampling Using Stochastic Gradient Thermostats NeurIPS 2014 Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014 Bayes-Optimal Scorers for Bipartite Ranking COLT 2014 Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision CVPR 2014 Beta Diffusion Trees ICML 2014 Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NeurIPS 2014 Biclustering Using Message Passing NeurIPS 2014 Black Box Variational Inference AISTATS 2014 Blossom Tree Graphical Models NeurIPS 2014 Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs NeurIPS 2014 Causal Inference through a Witness Protection Program NeurIPS 2014