MG
| Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
|---|---|---|---|---|---|---|---|
| Large-scale Nonlinear Variable Selection via Kernel Random Features | Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Proceedings. Part II |  | 2019 | 315 | 277 | ||
| Sparse learning for variable selection with structures and nonlinearities | | 2018 | 993 | 267 | |||
| Structured nonlinear variable selection | Conference on Uncertainty in Artificial Intelligence, UAI2018 | | 2018 | 289 | 103 | ||
| Forecasting and Granger Modelling with Non-linear Dynamical Dependencies | Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2017, Proceedings, Part II | | 2017 | 357 | 195 | ||
| Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks | Proceedings of the Ninth Asian Conference on Machine Learning (ACML 2017) | | 2017 | 580 | 123 |
