Probabilistic Modeling

An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators Interspeech 2016 A Probabilistic Collaborative Representation Based Approach for Pattern Classification CVPR 2016 A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes JMLR 2016 Bayesian group factor analysis with structured sparsity JMLR 2016 Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words COLING 2016 Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016 Bayesian Networks: a Combined Tuning Heuristic PGM 2016 Bayesian Networks for Variable Groups PGM 2016 Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016 Beyond CCA: Moment Matching for Multi-View Models ICML 2016 Completely random measures for modelling block-structured sparse networks NeurIPS 2016 Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016 Computing Lower and Upper Bounds on the Probability of Causal Statements PGM 2016 Conditional Bernoulli Mixtures for Multi-label Classification ICML 2016 Conditional Probability Estimation PGM 2016 Consistent Kernel Mean Estimation for Functions of Random Variables NeurIPS 2016 Contrasting Vertical and Horizontal Transmission of Typological Features COLING 2016 Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity CVPR 2016 Data Programming: Creating Large Training Sets, Quickly NeurIPS 2016 Dealbreaker: A Nonlinear Latent Variable Model for Educational Data ICML 2016 Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising CVPR 2016 D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities COLING 2016 Disease Trajectory Maps NeurIPS 2016 Dynamic Generative model for Diachronic Sense Emergence Detection COLING 2016 Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016