| Disturbing Target Values for Neural Network Regularization | Oct 11, 2021 | L2 Regularizationregression | CodeCode Available | 0 | 5 |
| Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization | Sep 18, 2022 | regression | CodeCode Available | 0 | 5 |
| Generalized Regression with Conditional GANs | Apr 21, 2024 | regression | CodeCode Available | 0 | 5 |
| Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression | Jun 3, 2018 | Distributed Computingregression | CodeCode Available | 0 | 5 |
| Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints | Mar 1, 2018 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Distributed Time-Varying Gaussian Regression via Kalman Filtering | Apr 21, 2025 | regression | CodeCode Available | 0 | 5 |
| Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control | May 24, 2022 | regression | CodeCode Available | 0 | 5 |
| Black-Box Batch Active Learning for Regression | Feb 17, 2023 | Active Learningregression | CodeCode Available | 0 | 5 |
| Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery | May 13, 2024 | quantile regressionregression | CodeCode Available | 0 | 5 |
| Distributed linear regression by averaging | Sep 30, 2018 | regression | CodeCode Available | 0 | 5 |