| An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression | Apr 25, 2025 | regressionUncertainty Quantification | —Unverified | 0 |
| Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model | Apr 25, 2025 | modelregression | —Unverified | 0 |
| Local Polynomial Lp-norm Regression | Apr 25, 2025 | regression | —Unverified | 0 |
| Physics-informed features in supervised machine learning | Apr 23, 2025 | regression | —Unverified | 0 |
| Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression | Apr 23, 2025 | Evolutionary Algorithmsregression | —Unverified | 0 |
| DAPLSR: Data Augmentation Partial Least Squares Regression Model via Manifold Optimization | Apr 23, 2025 | Data Augmentationregression | —Unverified | 0 |
| Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression | Apr 23, 2025 | Feature ImportanceInformativeness | CodeCode Available | 0 |
| From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning | Apr 22, 2025 | Conformal PredictionIn-Context Learning | —Unverified | 0 |
| How Private is Your Attention? Bridging Privacy with In-Context Learning | Apr 22, 2025 | In-Context Learningregression | —Unverified | 0 |
| Distributed Time-Varying Gaussian Regression via Kalman Filtering | Apr 21, 2025 | regression | CodeCode Available | 0 |