Bayesian Learning

Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics L4DC 2020 Projected Stein Variational Gradient Descent NeurIPS 2020 Quantile Propagation for Wasserstein-Approximate Gaussian Processes NeurIPS 2020 Quantum Probabilistic Models Using Feynman Diagram Rules for Better Understanding the Information Diffusion Dynamics in Online Social Networks AAAI 2020 Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020 Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020 Reconsidering Generative Objectives For Counterfactual Reasoning NeurIPS 2020 Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling IJCAI 2020 Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NeurIPS 2020 Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference EMNLP 2020 Robustness of Bayesian Neural Networks to Gradient-Based Attacks NeurIPS 2020 Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences ICML 2020 Sampling-Free Learning of Bayesian Quantized Neural Networks ICLR 2020 Scalable and Efficient Comparison-based Search without Features ICML 2020 Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020 Scalable Gaussian Process Regression Networks IJCAI 2020 Scalable Uncertainty for Computer Vision With Functional Variational Inference CVPR 2020 SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates ICML 2020 Second Order PAC-Bayesian Bounds for the Weighted Majority Vote NeurIPS 2020 SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback AAAI 2020 Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020 Spectral Subsampling MCMC for Stationary Time Series ICML 2020 Stationary Activations for Uncertainty Calibration in Deep Learning NeurIPS 2020 Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits NeurIPS 2020 Stochastic Differential Equations with Variational Wishart Diffusions ICML 2020