| RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features | Nov 11, 2022 | Stochastic OptimizationVariable Selection | CodeCode Available | 0 |
| Sparse-group boosting -- Unbiased group and variable selection | Jun 13, 2022 | Variable Selection | CodeCode Available | 0 |
| Latent Network Estimation and Variable Selection for Compositional Data via Variational EM | Oct 25, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 |
| Structured Learning in Time-dependent Cox Models | Jun 21, 2023 | Survival AnalysisVariable Selection | CodeCode Available | 0 |
| Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes | Nov 8, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 |
| AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes | Feb 17, 2022 | Decision MakingInterpretable Machine Learning | CodeCode Available | 0 |
