Bayesian & Probabilistic

Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018 Consistent Estimation given Missing Data PGM 2018 Constant-Time Predictive Distributions for Gaussian Processes ICML 2018 Constructing Deep Neural Networks by Bayesian Network Structure Learning NeurIPS 2018 Coupled Variational Bayes via Optimization Embedding NeurIPS 2018 Covariances, Robustness, and Variational Bayes JMLR 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 Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling ICLR 2018 Deep Neural Networks as Gaussian Processes ICLR 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 Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation NeurIPS 2018 Dependent Relational Gamma Process Models for Longitudinal Networks ICML 2018 Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction EMNLP 2018 Differentially Private Regression with Gaussian Processes AISTATS 2018 Direct Estimation of Differences in Causal Graphs NeurIPS 2018 Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification 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