| Hierarchical transfer learning with applications for electricity load forecasting | Nov 16, 2021 | Additive modelsLoad Forecasting | CodeCode Available | 0 | 5 |
| Grounding learning of modifier dynamics: An application to color naming | Sep 17, 2019 | Additive modelsNatural Language Understanding | CodeCode Available | 0 | 5 |
| Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain Trajectories | Apr 10, 2025 | Additive modelsBenchmarking | CodeCode Available | 0 | 5 |
| Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases | Jun 18, 2015 | Additive modelsBayesian Inference | CodeCode Available | 0 | 5 |
| Do Not Trust Additive Explanations | Mar 27, 2019 | Additive modelsBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models | Sep 22, 2024 | Additive modelsInterpretable Machine Learning | CodeCode Available | 0 | 5 |
| Gaussian Process Neural Additive Models | Feb 19, 2024 | Additive modelsExplainable Models | CodeCode Available | 0 | 5 |
| Chained Gaussian Processes | Apr 18, 2016 | Additive modelsGaussian Processes | CodeCode Available | 0 | 5 |
| Flexible, Non-parametric Modeling Using Regularized Neural Networks | Dec 18, 2020 | Additive modelsModel Selection | CodeCode Available | 0 | 5 |
| Additive Gaussian Processes | Dec 19, 2011 | Additive modelsGaussian Processes | CodeCode Available | 0 | 5 |
