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| The Unreasonable Effectiveness of Deep Evidential Regression | May 20, 2022 | regressionUncertainty Quantification | CodeCode Available | 1 |
| How catastrophic can catastrophic forgetting be in linear regression? | May 19, 2022 | Continual Learningregression | —Unverified | 0 |
| Variational Inference for Bayesian Bridge Regression | May 19, 2022 | Bayesian Inferenceregression | —Unverified | 0 |
| A Regression Approach to Learning-Augmented Online Algorithms | May 18, 2022 | regressionScheduling | —Unverified | 0 |
| Spiking Neural Operators for Scientific Machine Learning | May 17, 2022 | Edge-computingregression | —Unverified | 0 |
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| DNNR: Differential Nearest Neighbors Regression | May 17, 2022 | regression | —Unverified | 0 |
| Prediction of stent under-expansion in calcified coronary arteries using machine-learning on intravascular optical coherence tomography | May 16, 2022 | regression | —Unverified | 0 |
| Network embeddedness indicates the innovation potential of firms | May 16, 2022 | Positionregression | —Unverified | 0 |
| CurFi: An automated tool to find the best regression analysis model using curve fitting | May 16, 2022 | regression | —Unverified | 0 |
| ecpc: An R-package for generic co-data models for high-dimensional prediction | May 16, 2022 | regressionVariable Selection | —Unverified | 0 |
| On the inability of Gaussian process regression to optimally learn compositional functions | May 16, 2022 | regression | —Unverified | 0 |
| Robust Testing in High-Dimensional Sparse Models | May 16, 2022 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Supervised Learning and Model Analysis with Compositional Data | May 15, 2022 | regression | CodeCode Available | 0 |
| Robust Regularized Low-Rank Matrix Models for Regression and Classification | May 14, 2022 | Classificationregression | —Unverified | 0 |
| Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime | May 13, 2022 | regression | —Unverified | 0 |
| Modelling stellar activity with Gaussian process regression networks | May 13, 2022 | Gaussian Processesregression | CodeCode Available | 0 |
| A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification | May 13, 2022 | GPRregression | —Unverified | 0 |
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