| Flexible, Non-parametric Modeling Using Regularized Neural Networks | Dec 18, 2020 | Additive modelsModel Selection | CodeCode Available | 0 | 5 |
| Forecasting time series with constraints | Feb 14, 2025 | Additive modelsBenchmarking | CodeCode Available | 0 | 5 |
| Robust Aggregation for Federated Learning | Dec 31, 2019 | Additive modelsFederated Learning | CodeCode Available | 0 | 5 |
| Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data | Mar 29, 2018 | Additive modelsBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Dependence Measure for non-additive model | Oct 6, 2013 | Additive modelsmodel | —Unverified | 0 | 0 |
| bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond) | Sep 25, 2019 | Additive modelsBayesian Inference | —Unverified | 0 | 0 |
| AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting | Mar 31, 2025 | Additive modelsAutoML | —Unverified | 0 | 0 |
| Data-Efficient and Interpretable Tabular Anomaly Detection | Mar 3, 2022 | Additive modelsAnomaly Detection | —Unverified | 0 | 0 |
| Data fission: splitting a single data point | Dec 21, 2021 | Additive modelsBayesian Inference | —Unverified | 0 | 0 |
| Daily peak electrical load forecasting with a multi-resolution approach | Dec 8, 2021 | Additive modelsLoad Forecasting | —Unverified | 0 | 0 |
