| Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents | Feb 4, 2025 | Conformal PredictionDecision Making | —Unverified | 0 |
| Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections | Oct 22, 2024 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning | May 3, 2024 | Conformal PredictionUncertainty Quantification | —Unverified | 0 |
| Decision Theoretic Bootstrapping | Mar 18, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian Hidden Physics Models: Uncertainty Quantification for Discovery of Nonlinear Partial Differential Operators from Data | Jun 7, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Distribution-free uncertainty quantification for classification under label shift | Mar 4, 2021 | ClassificationConformal Prediction | —Unverified | 0 |
| Distribution free uncertainty quantification in neuroscience-inspired deep operators | Dec 12, 2024 | Conformal PredictionEdge-computing | —Unverified | 0 |
| Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework | Dec 17, 2024 | Conformal PredictionDeep Reinforcement Learning | —Unverified | 0 |
| Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning | Apr 9, 2024 | DiversityReinforcement Learning (RL) | —Unverified | 0 |
| Debiasing Mini-Batch Quadratics for Applications in Deep Learning | Oct 18, 2024 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| An Efficient and Uncertainty-aware Reinforcement Learning Framework for Quality Assurance in Extrusion Additive Manufacturing | Mar 2, 2025 | Q-LearningUncertainty Quantification | —Unverified | 0 |
| Do Large Language Models (Really) Need Statistical Foundations? | May 25, 2025 | Uncertainty Quantification | —Unverified | 0 |
| Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks | Nov 23, 2022 | BenchmarkingDeep Learning | —Unverified | 0 |
| Entropy-regularized Gradient Estimators for Approximate Bayesian Inference | Mar 15, 2025 | Bayesian InferenceModel-based Reinforcement Learning | —Unverified | 0 |
| Epistemic Deep Learning | Jun 15, 2022 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| DROMO: Distributionally Robust Offline Model-based Policy Optimization | Sep 15, 2021 | modelUncertainty Quantification | —Unverified | 0 |
| Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks | Dec 14, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows | Oct 31, 2023 | Operator learningUncertainty Quantification | —Unverified | 0 |
| DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection | Nov 3, 2024 | Change Point DetectionModel Selection | —Unverified | 0 |
| Bayesian Graph Contrastive Learning | Dec 15, 2021 | Contrastive LearningSelf-Supervised Learning | —Unverified | 0 |
| Ensemble Neural Networks (ENN): A gradient-free stochastic method | Aug 3, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian generative models can flag performance loss, bias, and out-of-distribution image content | Mar 21, 2025 | Anomaly DetectionData Visualization | —Unverified | 0 |
| DBCal: Density Based Calibration of classifier predictions for uncertainty quantification | Apr 1, 2022 | Semantic SegmentationUncertainty Quantification | —Unverified | 0 |
| Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting | Mar 27, 2025 | Conformal PredictionLoad Forecasting | —Unverified | 0 |
| An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression | Apr 25, 2025 | regressionUncertainty Quantification | —Unverified | 0 |