Bayesian Inference

Semi-Supervised Self-Produced Speech Enhancement and Suppression Based on Joint Source Modeling of Air- and Body-Conducted Signals Using Variational Autoencoder Interspeech 2020 Sentence Transformers and Bayesian Optimization for Adverse Drug Effect Detection from Twitter COLING 2020 Sequential Bayesian Experimental Design with Variable Cost Structure NeurIPS 2020 Sequential Cooperative Bayesian Inference ICML 2020 SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback AAAI 2020 Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness NeurIPS 2020 Simulator Calibration under Covariate Shift with Kernels AISTATS 2020 SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search IJCAI 2020 Slice Sampling for General Completely Random Measures UAI 2020 Smart Forgetting for Safe Online Learning with Gaussian Processes L4DC 2020 Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling ALT 2020 Source Separation with Deep Generative Priors ICML 2020 Sparse Gaussian Processes with Spherical Harmonic Features ICML 2020 Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models EMNLP 2020 Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation AAAI 2020 Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract) IJCAI 2020 Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020 Spike and slab variational Bayes for high dimensional logistic regression NeurIPS 2020 State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes ICML 2020 Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits NeurIPS 2020 Stein Self-Repulsive Dynamics: Benefits From Past Samples NeurIPS 2020 Stein Variational Inference for Discrete Distributions AISTATS 2020 Stein Variational Model Predictive Control CoRL 2020 Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning AISTATS 2020 Stochastically Dominant Distributional Reinforcement Learning ICML 2020