bayesian inference

Projected Stein Variational Gradient Descent NeurIPS 2020 Quantile Graphical Models: a Bayesian Approach JMLR 2020 Recalibrating classifiers for interpretable abusive content detection EMNLP 2020 Recursively Binary Modification Model for Nested Named Entity Recognition AAAI 2020 Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference EMNLP 2020 Residual Neural Processes AAAI 2020 Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay ICML 2020 Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice NeurIPS 2020 Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons AAAI 2020 Robust Optimisation Monte Carlo AISTATS 2020 Scalable and Efficient Comparison-based Search without Features ICML 2020 Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020 Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection ACML 2020 Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020 Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components AISTATS 2020 Sequential Cooperative Bayesian Inference ICML 2020 SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback AAAI 2020 Simulator Calibration under Covariate Shift with Kernels AISTATS 2020 Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling ALT 2020 Source Separation with Deep Generative Priors ICML 2020 Spectral Subsampling MCMC for Stationary Time Series ICML 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 Streaming Nonlinear Bayesian Tensor Decomposition UAI 2020 STReSSD: Sim-To-Real from Sound for Stochastic Dynamics CoRL 2020