| On double-descent in uncertainty quantification in overparametrized models | Oct 23, 2022 | Binary ClassificationUncertainty Quantification | CodeCode Available | 0 |
| Bayesian Optimization with Conformal Prediction Sets | Oct 22, 2022 | Active LearningBayesian Optimization | CodeCode Available | 1 |
| Bayesian deep learning framework for uncertainty quantification in high dimensions | Oct 21, 2022 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Bayesian Emulation for Computer Models with Multiple Partial Discontinuities | Oct 19, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty | Oct 18, 2022 | Generative Adversarial NetworkOut of Distribution (OOD) Detection | —Unverified | 0 |
| Uncertainty in Extreme Multi-label Classification | Oct 18, 2022 | ClassificationDecision Making | —Unverified | 0 |
| Packed-Ensembles for Efficient Uncertainty Estimation | Oct 17, 2022 | Classifier calibrationDiversity | —Unverified | 0 |
| Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological Systems | Oct 17, 2022 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Conditional Neural Processes for Molecules | Oct 17, 2022 | Bayesian OptimizationBenchmarking | —Unverified | 0 |
| Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints | Oct 16, 2022 | Uncertainty Quantification | —Unverified | 0 |
