| DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation | May 16, 2022 | Additive modelsfeature selection | —Unverified | 0 |
| Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting | Dec 1, 2012 | Additive modelsLoad Forecasting | —Unverified | 0 |
| Group Sparse Additive Machine | Dec 1, 2017 | Additive modelsClassification | —Unverified | 0 |
| Daily peak electrical load forecasting with a multi-resolution approach | Dec 8, 2021 | Additive modelsLoad Forecasting | —Unverified | 0 |
| Handling Overlapping Asymmetric Datasets -- A Twice Penalized P-Spline Approach | Nov 17, 2023 | Additive modelsDimensionality Reduction | —Unverified | 0 |
| Hierarchical Neural Additive Models for Interpretable Demand Forecasts | Apr 5, 2024 | Additive modelsManagement | —Unverified | 0 |
| Data-Efficient and Interpretable Tabular Anomaly Detection | Mar 3, 2022 | Additive modelsAnomaly Detection | —Unverified | 0 |
| High Dimensional Bayesian Optimisation and Bandits via Additive Models | Mar 5, 2015 | Additive modelsBayesian Optimisation | —Unverified | 0 |
| High-Dimensional Markov-switching Ordinary Differential Processes | Dec 30, 2024 | Additive models | —Unverified | 0 |
| Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression | Mar 21, 2024 | Additive modelsReinforcement Learning (RL) | —Unverified | 0 |
