Probabilistic Modeling

Minimum Weight Perfect Matching via Blossom Belief Propagation NeurIPS 2015 Missing at Random in Graphical Models AISTATS 2015 Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015 Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015 Online Prediction at the Limit of Zero Temperature NeurIPS 2015 Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach NeurIPS 2015 On the Relationship between Sum-Product Networks and Bayesian Networks ICML 2015 Particle Gibbs with Ancestor Sampling for Probabilistic Programs AISTATS 2015 Picture: A Probabilistic Programming Language for Scene Perception CVPR 2015 Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015 Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NeurIPS 2015 Probabilistic Label Relation Graphs With Ising Models ICCV 2015 Probabilistic Variational Bounds for Graphical Models NeurIPS 2015 Pushing Forward Marginal MAP with Best-First Search IJCAI 2015 rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos RSS 2015 Reified Context Models ICML 2015 Robust Spectral Inference for Joint Stochastic Matrix Factorization NeurIPS 2015 Safe Exploration for Optimization with Gaussian Processes ICML 2015 Sampling from Probabilistic Submodular Models NeurIPS 2015 Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes ICML 2015 Scalable Nonparametric Multiway Data Analysis AISTATS 2015 Scalable Variational Inference in Log-supermodular Models ICML 2015 Segregated Graphs and Marginals of Chain Graph Models NeurIPS 2015 Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis ICCV 2015 Softstar: Heuristic-Guided Probabilistic Inference NeurIPS 2015