| Generalized Factor Neural Network Model for High-dimensional Regression | Feb 16, 2025 | regression | —Unverified | 0 |
| Using Artificial Intelligence to Improve Classroom Learning Experience | Feb 14, 2025 | Binary Classificationregression | —Unverified | 0 |
| Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression | Feb 14, 2025 | Pseudo Labelregression | —Unverified | 0 |
| Self-Normalized Inference in (Quantile, Expected Shortfall) Regressions for Time Series | Feb 14, 2025 | quantile regressionregression | —Unverified | 0 |
| Variational empirical Bayes variable selection in high-dimensional logistic regression | Feb 14, 2025 | regressionVariable Selection | —Unverified | 0 |
| TRKM: Twin Restricted Kernel Machines for Classification and Regression | Feb 13, 2025 | regression | —Unverified | 0 |
| High-dimensional censored MIDAS logistic regression for corporate survival forecasting | Feb 13, 2025 | regression | CodeCode Available | 0 |
| Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression | Feb 13, 2025 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression | Feb 13, 2025 | DiagnosticGPR | —Unverified | 0 |
| Improving Deep Regression with Tightness | Feb 13, 2025 | regression | CodeCode Available | 0 |
