Bayesian & Probabilistic

Provable Variational Inference for Constrained Log-Submodular Models NeurIPS 2018 Proximal Graphical Event Models NeurIPS 2018 Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures AISTATS 2018 Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors ICML 2018 Random Feature Stein Discrepancies NeurIPS 2018 Randomized Prior Functions for Deep Reinforcement Learning NeurIPS 2018 Rating Distributions and Bayesian Inference: Enhancing Cognitive Models of Spatial Language Use ACL 2018 Real-time Change Point Detection using On-line Topic Models COLING 2018 Reconstructing Neutral Speech from Tracheoesophageal Speech Interspeech 2018 Rectangular Bounding Process NeurIPS 2018 Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NeurIPS 2018 Reparameterizing the Birkhoff Polytope for Variational Permutation Inference AISTATS 2018 Representations of Bayesian networks by low-rank models PGM 2018 Robust and Scalable Models of Microbiome Dynamics ICML 2018 Robust Learning of Fixed-Structure Bayesian Networks NeurIPS 2018 Same-Decision Probability: Threshold Robustness and Application to Explanation PGM 2018 Scalable approximate Bayesian inference for particle tracking data ICML 2018 Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018 Scalable Generalized Dynamic Topic Models AISTATS 2018 Scalable Hyperparameter Transfer Learning NeurIPS 2018 Scaling Gaussian Process Regression with Derivatives NeurIPS 2018 Semi-Supervised Prediction-Constrained Topic Models AISTATS 2018 Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model COLING 2018 Simple Propagation with Arc-Reversal in Bayesian Networks PGM 2018 SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient NeurIPS 2018