bayesian inference

The 35th Uncertainty in Artificial Intelligence Conference: Preface UAI 2019 The Deep Weight Prior ICLR 2019 The Functional Neural Process NeurIPS 2019 The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions ICML 2019 Theory of Minds: Understanding Behavior in Groups through Inverse Planning AAAI 2019 The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration IJCAI 2019 Towards Zero-shot Language Modeling EMNLP 2019 Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling ICLR 2019 Trust Region Sequential Variational Inference ACML 2019 Understanding and Accelerating Particle-Based Variational Inference ICML 2019 Understanding MCMC Dynamics as Flows on the Wasserstein Space ICML 2019 Variational Bayesian Optimal Experimental Design NeurIPS 2019 Variational Bayes under Model Misspecification NeurIPS 2019 Variational Convolutional Neural Network Pruning CVPR 2019 Variational Inference from Ranked Samples with Features ACML 2019 Variational Inference MPC for Bayesian Model-based Reinforcement Learning CoRL 2019 Variational Smoothing in Recurrent Neural Network Language Models ICLR 2019 What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019 Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models ACL 2019 A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018 A Bayesian Approach to Generative Adversarial Imitation Learning NeurIPS 2018 A Bayesian Nonparametric View on Count-Min Sketch NeurIPS 2018 A Bayesian Perspective on Generalization and Stochastic Gradient Descent ICLR 2018 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NeurIPS 2018 Algorithmic Linearly Constrained Gaussian Processes NeurIPS 2018