Bayesian Learning

Adaptive Gaussian Copula ABC AISTATS 2019 Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning IJCAI 2019 Alleviating Label Switching with Optimal Transport NeurIPS 2019 A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits NeurIPS 2019 Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse NeurIPS 2019 A Simple Baseline for Bayesian Uncertainty in Deep Learning NeurIPS 2019 A Thompson Sampling Algorithm for Cascading Bandits AISTATS 2019 Automated Model Selection with Bayesian Quadrature ICML 2019 Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019 Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019 Automatic Bayesian Density Analysis AAAI 2019 Band-Limited Gaussian Processes: The Sinc Kernel NeurIPS 2019 Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design AISTATS 2019 Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ICML 2019 Bayesian Adaptive Superpixel Segmentation ICCV 2019 Bayesian Combination of Probabilistic Classifiers using Multivariate Normal Mixtures JMLR 2019 Bayesian Execution Skill Estimation AAAI 2019 Bayesian Generative Active Deep Learning ICML 2019 Bayesian Hierarchical Dynamic Model for Human Action Recognition CVPR 2019 Bayesian Joint Estimation of Multiple Graphical Models NeurIPS 2019 Bayesian Joint Spike-and-Slab Graphical Lasso ICML 2019 Bayesian Layers: A Module for Neural Network Uncertainty NeurIPS 2019 Bayesian Learning for Neural Dependency Parsing NAACL 2019 Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019 Bayesian Learning of Sum-Product Networks NeurIPS 2019