probabilistic modeling

Vector-Valued Property Elicitation COLT 2015 Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014 A Junction Tree Framework for Undirected Graphical Model Selection JMLR 2014 A provable SVD-based algorithm for learning topics in dominant admixture corpus NeurIPS 2014 Augur: Data-Parallel Probabilistic Modeling NeurIPS 2014 Bayesian Active Appearance Models CVPR 2014 Bayes-Optimal Scorers for Bipartite Ranking COLT 2014 Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014 Blossom Tree Graphical Models NeurIPS 2014 Causal Inference through a Witness Protection Program NeurIPS 2014 Color Transfer Using Probabilistic Moving Least Squares CVPR 2014 Covariance Trees for 2D and 3D Processing CVPR 2014 Distributed Parameter Estimation in Probabilistic Graphical Models NeurIPS 2014 Elicitation and Identification of Properties COLT 2014 Exchangeable Variable Models ICML 2014 Expectation-Maximization for Learning Determinantal Point Processes NeurIPS 2014 From MAP to Marginals: Variational Inference in Bayesian Submodular Models NeurIPS 2014 Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014 General Table Completion using a Bayesian Nonparametric Model NeurIPS 2014 Global Sensitivity Analysis for MAP Inference in Graphical Models NeurIPS 2014 Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically ICML 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014 Kernel Mean Estimation via Spectral Filtering NeurIPS 2014 Latent Confusion Analysis by Normalized Gamma Construction ICML 2014 Learning a Concept Hierarchy from Multi-labeled Documents NeurIPS 2014