| Huber Additive Models for Non-stationary Time Series Analysis | Sep 29, 2021 | Additive modelsCausal Discovery | —Unverified | 0 |
| GapTV: Accurate and Interpretable Low-Dimensional Regression and Classification | Feb 23, 2017 | Additive modelsClassification | —Unverified | 0 |
| Generalized Additive Model Selection | Jun 11, 2015 | Additive modelsmodel | —Unverified | 0 |
| Generalized Boosting | Dec 1, 2020 | Additive modelsClassification | —Unverified | 0 |
| Generalized Groves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance | Sep 21, 2022 | Additive modelsFairness | —Unverified | 0 |
| Boosting with copula-based components | Aug 9, 2022 | Additive modelsModel Selection | —Unverified | 0 |
| Identification of Additive Continuous-time Systems in Open and Closed loop | Jan 2, 2024 | Additive models | —Unverified | 0 |
| Generalized Sparse Additive Model with Unknown Link Function | Oct 8, 2024 | Additive modelsBilevel Optimization | —Unverified | 0 |
| Efficient Sampling for Learning Sparse Additive Models in High Dimensions | Dec 1, 2014 | Additive modelsCompressive Sensing | —Unverified | 0 |
| Gradient-free stochastic optimization for additive models | Mar 3, 2025 | Additive modelsStochastic Optimization | —Unverified | 0 |
| Boosting Causal Additive Models | Jan 12, 2024 | Additive models | —Unverified | 0 |
| How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring | Oct 16, 2020 | Additive modelsDeep Learning | —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 |
| Additive Component Analysis | Jul 1, 2017 | Additive modelsDenoising | —Unverified | 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 |
| High-Dimensional Markov-switching Ordinary Differential Processes | Dec 30, 2024 | Additive models | —Unverified | 0 |
| AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting | Mar 31, 2025 | Additive modelsAutoML | —Unverified | 0 |
| Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting | Dec 1, 2012 | Additive modelsLoad Forecasting | —Unverified | 0 |
| How to address monotonicity for model risk management? | Apr 28, 2023 | Additive modelsFairness | —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 |