Probabilistic Modeling

Machine Translation of Spanish Personal and Possessive Pronouns Using Anaphora Probabilities EACL 2017 Modelling Representation Noise in Emotion Analysis using Gaussian Processes IJCNLP 2017 Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017 Most Probable Explanations for Probabilistic Database Queries IJCAI 2017 Multi-way Interacting Regression via Factorization Machines NeurIPS 2017 Named Entity Recognition in the Medical Domain with Constrained CRF Models EACL 2017 On Markov chain Monte Carlo methods for tall data JMLR 2017 On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations ICML 2017 On the Model Shrinkage Effect of Gamma Process Edge Partition Models NeurIPS 2017 Optimizing Long-term Predictions for Model-based Policy Search CoRL 2017 Order Statistics for Probabilistic Graphical Models IJCAI 2017 Ordinal Graphical Models: A Tale of Two Approaches ICML 2017 PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NeurIPS 2017 PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems ACML 2017 Plato's Cave in the Dempster-Shafer land--the Link between Pignistic and Plausibility Transformations IJCAI 2017 Poisson Random Fields for Dynamic Feature Models JMLR 2017 Post-Inference Prior Swapping ICML 2017 Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge EACL 2017 Probabilistic Inference in Hybrid Domains IJCAI 2017 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NeurIPS 2017 Probabilistic Temporal Subspace Clustering CVPR 2017 Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017 Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NeurIPS 2017 Recovering Probability Distributions from Missing Data ACML 2017 Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging CVPR 2017