Uncertainty Quantification

Partial Counterfactual Identification from Observational and Experimental Data ICML 2022 Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation NeurIPS 2022 Posterior and Computational Uncertainty in Gaussian Processes NeurIPS 2022 Practical Adversarial Multivalid Conformal Prediction NeurIPS 2022 Provable Guarantees for Understanding Out-of-Distribution Detection AAAI 2022 Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free NeurIPS 2022 Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability NeurIPS 2022 Role of Human-AI Interaction in Selective Prediction AAAI 2022 Selective Ensembles for Consistent Predictions ICLR 2022 Semantic uncertainty intervals for disentangled latent spaces NeurIPS 2022 Single Model Uncertainty Estimation via Stochastic Data Centering NeurIPS 2022 Stable Conformal Prediction Sets ICML 2022 Stop Measuring Calibration When Humans Disagree EMNLP 2022 Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks NeurIPS 2022 Testing Whether a Learning Procedure is Calibrated JMLR 2022 The Implicit Delta Method NeurIPS 2022 The Neural Testbed: Evaluating Joint Predictions NeurIPS 2022 The Role of Context and Uncertainty in Shallow Discourse Parsing COLING 2022 Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NeurIPS 2022 Towards Improving Selective Prediction Ability of NLP Systems ACL 2022 Training Uncertainty-Aware Classifiers with Conformalized Deep Learning NeurIPS 2022 Transformer Uncertainty Estimation with Hierarchical Stochastic Attention AAAI 2022 UAST: Uncertainty-Aware Siamese Tracking ICML 2022 UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup NeurIPS 2022 Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation CVPR 2022