Bayesian Learning

Variational Bayesian Decision-making for Continuous Utilities NeurIPS 2019 Variational Bayes under Model Misspecification NeurIPS 2019 Variational Implicit Processes ICML 2019 Variational Russian Roulette for Deep Bayesian Nonparametrics ICML 2019 What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019 XBART: Accelerated Bayesian Additive Regression Trees AISTATS 2019 3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces IJCAI 2018 A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018 A Bayesian Nonparametric View on Count-Min Sketch NeurIPS 2018 A Bayes-Sard Cubature Method NeurIPS 2018 A Compositional Bayesian Semantics for Natural Language COLING 2018 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NeurIPS 2018 Adversarial Distillation of Bayesian Neural Network Posteriors ICML 2018 Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy AISTATS 2018 A probabilistic population code based on neural samples NeurIPS 2018 A Symbolic Approach to Explaining Bayesian Network Classifiers IJCAI 2018 Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language NeurIPS 2018 Bandit Learning with Implicit Feedback NeurIPS 2018 Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018 Bayesian Active Edge Evaluation on Expensive Graphs IJCAI 2018 Bayesian Adversarial Learning NeurIPS 2018 Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent ICML 2018 Bayesian Inference of Temporal Task Specifications from Demonstrations NeurIPS 2018 Bayesian Model Selection for Change Point Detection and Clustering ICML 2018 Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data NeurIPS 2018