Probabilistic Modeling

Bayesian Nonparametric Spectral Estimation NeurIPS 2018 Bayesian Quadrature for Multiple Related Integrals ICML 2018 Bayesian Structure Learning for Dynamic Brain Connectivity AISTATS 2018 Bucket Renormalization for Approximate Inference ICML 2018 Can Rumour Stance Alone Predict Veracity? COLING 2018 Classification of Moral Foundations in Microblog Political Discourse ACL 2018 Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NeurIPS 2018 Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus IJCAI 2018 Consistent Estimation given Missing Data PGM 2018 Constant-Time Predictive Distributions for Gaussian Processes ICML 2018 Coupled Variational Bayes via Optimization Embedding NeurIPS 2018 Cross-lingual Speech Emotion Recognition through Factor Analysis Interspeech 2018 DAGs with NO TEARS: Continuous Optimization for Structure Learning NeurIPS 2018 Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control AISTATS 2018 Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning ICML 2018 Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision EMNLP 2018 DeepProbLog: Neural Probabilistic Logic Programming NeurIPS 2018 Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs AISTATS 2018 Demonstrating and Modelling Systematic Time-varying Annotator Disagreement in Continuous Emotion Annotation Interspeech 2018 Dependent Relational Gamma Process Models for Longitudinal Networks ICML 2018 Differentially Private Regression with Gaussian Processes AISTATS 2018 Direct Estimation of Differences in Causal Graphs NeurIPS 2018 Dirichlet belief networks for topic structure learning NeurIPS 2018 Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms ICML 2018 Distributionally Robust Graphical Models NeurIPS 2018