| Bayesian neural networks for weak solution of PDEs with uncertainty quantification | Jan 13, 2021 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks | Jan 11, 2021 | Bayesian InferenceDimensionality Reduction | —Unverified | 0 |
| Distribution-Free, Risk-Controlling Prediction Sets | Jan 7, 2021 | BIG-bench Machine LearningClassification | CodeCode Available | 2 |
| DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation | Jan 1, 2021 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory | Jan 1, 2021 | Meta-LearningUncertainty Quantification | —Unverified | 0 |
| Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty | Jan 1, 2021 | image-classificationImage Classification | —Unverified | 0 |
| Conditional Coverage Estimation for High-quality Prediction Intervals | Jan 1, 2021 | PredictionPrediction Intervals | —Unverified | 0 |
| Variational Deterministic Uncertainty Quantification | Jan 1, 2021 | Causal Inferenceregression | —Unverified | 0 |
| Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification | Dec 29, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 1 |
| An Algorithm for Sensor Data Uncertainty Quantification | Dec 27, 2020 | Uncertainty Quantification | —Unverified | 0 |
