Probabilistic Modeling

Randomized Optimum Models for Structured Prediction AISTATS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Recognizing Activities by Attribute Dynamics NeurIPS 2012 Recovering Networks from Distance Data ACML 2012 Repulsive Mixtures NeurIPS 2012 Sample Complexity of Composite Likelihood AISTATS 2012 Scalable imputation of genetic data with a discrete fragmentation-coagulation process NeurIPS 2012 Scalable Inference of Overlapping Communities NeurIPS 2012 Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NeurIPS 2012 Semiparametric Principal Component Analysis NeurIPS 2012 Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012 Semi-Supervised Domain Adaptation with Non-Parametric Copulas NeurIPS 2012 Slice Normalized Dynamic Markov Logic Networks NeurIPS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NeurIPS 2012 Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NeurIPS 2012 Statistical Models for Exploring Individual Email Communication Behavior ACML 2012 Structured Learning of Gaussian Graphical Models NeurIPS 2012 Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NeurIPS 2012 Subset Infinite Relational Models AISTATS 2012 Symmetric Correspondence Topic Models for Multilingual Text Analysis NeurIPS 2012 The Bethe Partition Function of Log-supermodular Graphical Models NeurIPS 2012 The Time-Marginalized Coalescent Prior for Hierarchical Clustering NeurIPS 2012 The variational hierarchical EM algorithm for clustering hidden Markov models NeurIPS 2012 Topic-Partitioned Multinetwork Embeddings NeurIPS 2012