uncertainty quantification

Simultaneous Prediction Intervals for Patient-Specific Survival Curves IJCAI 2019 Single-Model Uncertainties for Deep Learning NeurIPS 2019 Statistical Guarantees for the Robustness of Bayesian Neural Networks IJCAI 2019 Subspace Inference for Bayesian Deep Learning UAI 2019 Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NeurIPS 2019 The 35th Uncertainty in Artificial Intelligence Conference: Preface UAI 2019 Towards Reliable Learning for High Stakes Applications AAAI 2019 Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining CVPR 2019 Uncertainty on Asynchronous Time Event Prediction NeurIPS 2019 Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control NeurIPS 2019 Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty NeurIPS 2019 Verified Uncertainty Calibration NeurIPS 2019 What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019 A Bayes-Sard Cubature Method NeurIPS 2018 Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018 Accurate Uncertainties for Deep Learning Using Calibrated Regression ICML 2018 Adversarial Distillation of Bayesian Neural Network Posteriors ICML 2018 Analyzing Uncertainty in Neural Machine Translation ICML 2018 A Probabilistic U-Net for Segmentation of Ambiguous Images NeurIPS 2018 Automating Bayesian optimization with Bayesian optimization NeurIPS 2018 Bayesian Approaches to Distribution Regression AISTATS 2018 Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent ICML 2018 Cascading Sum-Product Networks using Robustness PGM 2018 Compact Representation of Uncertainty in Clustering NeurIPS 2018 Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018