Probabilistic Modeling

Variational Consensus Monte Carlo NeurIPS 2015 Vector-Space Markov Random Fields via Exponential Families ICML 2015 Accelerating ABC methods using Gaussian processes AISTATS 2014 A Compilation Target for Probabilistic Programming Languages ICML 2014 A Complete Variational Tracker NeurIPS 2014 Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014 A framework for studying synaptic plasticity with neural spike train data NeurIPS 2014 An Integer Polynomial Programming Based Framework for Lifted MAP Inference NeurIPS 2014 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* Sampling NeurIPS 2014 Asymmetrical Gauss Mixture Models for Point Sets Matching CVPR 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 Bayesian Inference for Structured Spike and Slab Priors NeurIPS 2014 Bayesian Logistic Gaussian Process Models for Dynamic Networks 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 Biclustering Using Message Passing NeurIPS 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 Clamping Variables and Approximate Inference NeurIPS 2014