uncertainty quantification

Provable Guarantees for Understanding Out-of-Distribution Detection AAAI 2022 Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free NeurIPS 2022 Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty ACL 2022 Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison UAI 2022 Robust Calibration with Multi-domain Temperature Scaling NeurIPS 2022 Robustness and Reliability When Training With Noisy Labels AISTATS 2022 Robust Probabilistic Time Series Forecasting AISTATS 2022 Role of Human-AI Interaction in Selective Prediction AAAI 2022 Scalable Deep Gaussian Markov Random Fields for General Graphs ICML 2022 Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022 Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NeurIPS 2022 Segmentation-Consistent Probabilistic Lesion Counting MIDL 2022 Self-Aware Personalized Federated Learning NeurIPS 2022 Semantic uncertainty intervals for disentangled latent spaces NeurIPS 2022 Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation AAAI 2022 Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue ACL 2022 Sparse Additive Gaussian Process Regression JMLR 2022 SpectraNet: Learned Recognition of Artificial Satellites From High Contrast Spectroscopic Imagery WACV 2022 Stable Conformal Prediction Sets ICML 2022 Stop Measuring Calibration When Humans Disagree EMNLP 2022 Structure-Preserving Learning Using Gaussian Processes and Variational Integrators L4DC 2022 Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks NeurIPS 2022 Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation CVPR 2022 Testing Whether a Learning Procedure is Calibrated JMLR 2022 The Implicit Delta Method NeurIPS 2022