Uncertainty Quantification

What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization NeurIPS 2023 Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022 Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning ICLR 2022 Towards Improving Calibration in Object Detection Under Domain Shift NeurIPS 2022 Trusted Multi-View Deep Learning with Opinion Aggregation AAAI 2022 Efficient Conformal Prediction via Cascaded Inference with Expanded Admission ICLR 2021 Getting a CLUE: A Method for Explaining Uncertainty Estimates ICLR 2021 Human Uncertainty Inference via Deterministic Ensemble Neural Networks AAAI 2021 Moment Multicalibration for Uncertainty Estimation COLT 2021 Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds ICLR 2021 Conservative Uncertainty Estimation By Fitting Prior Networks ICLR 2020 Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift NeurIPS 2019 Do Deep Generative Models Know What They Don't Know? ICLR 2019 On the Calibration of Multiclass Classification with Rejection NeurIPS 2019 Same-Decision Probability: Threshold Robustness and Application to Explanation PGM 2018 Calibrated Structured Prediction NeurIPS 2015 Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees NeurIPS 2015 Large-scale probabilistic predictors with and without guarantees of validity NeurIPS 2015 Minimizing Uncertainty in Pipelines NeurIPS 2012 Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NeurIPS 2010 Uncertainty, phase and oscillatory hippocampal recall NeurIPS 2006