| Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models | Mar 11, 2018 | Additive modelsModel Selection | —Unverified | 0 | 0 |
| Discovery of Causal Additive Models in the Presence of Unobserved Variables | Jun 4, 2021 | Additive modelsCausal Discovery | —Unverified | 0 | 0 |
| Discrete-Choice Model with Generalized Additive Utility Network | Sep 29, 2023 | Additive modelsDecision Making | —Unverified | 0 | 0 |
| Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression | Mar 21, 2024 | Additive modelsReinforcement Learning (RL) | —Unverified | 0 | 0 |
| 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 | 0 |
| Efficient Sampling for Learning Sparse Additive Models in High Dimensions | Dec 1, 2014 | Additive modelsCompressive Sensing | —Unverified | 0 | 0 |
| Electricity Demand Forecasting by Multi-Task Learning | Dec 27, 2015 | Additive modelsDemand Forecasting | —Unverified | 0 | 0 |
| Enhancing CVaR portfolio optimisation performance with GAM factor models | Dec 30, 2023 | Additive models | —Unverified | 0 | 0 |
| Estimating complex causal effects from incomplete observational data | Mar 5, 2014 | Additive modelsImputation | —Unverified | 0 | 0 |
| Estimating Discontinuous Time-Varying Risk Factors and Treatment Benefits for COVID-19 with Interpretable ML | Nov 15, 2022 | Additive models | —Unverified | 0 | 0 |
