| Uncertainty Quantification for Fairness in Two-Stage Recommender Systems | May 30, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR) | May 29, 2022 | Conformal PredictionDensity Estimation | CodeCode Available | 0 |
| Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model | May 28, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging | May 27, 2022 | Multi-Task Learningregression | —Unverified | 0 |
| Deep interpretable ensembles | May 25, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee | May 22, 2022 | Conformal PredictionOutlier Detection | —Unverified | 0 |
| Fast Instrument Learning with Faster Rates | May 22, 2022 | Model Selectionregression | CodeCode Available | 0 |
| Uncertainty Quantification for Transport in Porous media using Parameterized Physics Informed neural Networks | May 19, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Achieving Risk Control in Online Learning Settings | May 18, 2022 | Conformal PredictionDepth Estimation | CodeCode Available | 0 |
| Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels | May 18, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
