Probabilistic Modeling

Robust Asymmetric Bayesian Adaptive Matrix Factorization IJCAI 2017 Robust Conditional Probabilities NeurIPS 2017 Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017 Robust Joint and Individual Variance Explained CVPR 2017 Robust Survey Aggregation with Student-t Distribution and Sparse Representation IJCAI 2017 Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior IJCNLP 2017 Scalable Model Selection for Belief Networks NeurIPS 2017 Sequential Graph Matching with Sequential Monte Carlo AISTATS 2017 Speaker Verification via Estimating Total Variability Space Using Probabilistic Partial Least Squares Interspeech 2017 Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NeurIPS 2017 Statistical and Computational Guarantees for the Baum-Welch Algorithm JMLR 2017 Stochastic Constraint Programming with And-Or Branch-and-Bound IJCAI 2017 SVD-Based Screening for the Graphical Lasso IJCAI 2017 Tensor Belief Propagation ICML 2017 The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities NeurIPS 2017 Tomography of the London Underground: a Scalable Model for Origin-Destination Data NeurIPS 2017 Tractability in Structured Probability Spaces NeurIPS 2017 Variational Inference via χ Upper Bound Minimization NeurIPS 2017 Weighted Model Integration with Orthogonal Transformations IJCAI 2017 Zonotope Hit-and-run for Efficient Sampling from Projection DPPs ICML 2017 A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016 A Distribution-based Model to Learn Bilingual Word Embeddings COLING 2016 A Locally Adaptive Normal Distribution NeurIPS 2016 Analysis of Speaker Recognition Systems in Realistic Scenarios of the SITW 2016 Challenge Interspeech 2016 An Exact Approach to Learning Probabilistic Relational Model PGM 2016