| Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R Implementation | May 31, 2024 | Selection biasVariable Selection | CodeCode Available | 0 |
| A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data | May 5, 2020 | Decision MakingVariable Selection | CodeCode Available | 0 |
| INVASE: Instance-wise Variable Selection using Neural Networks | May 1, 2019 | feature selectionVariable Selection | CodeCode Available | 0 |
| When to Impute? Imputation before and during cross-validation | Oct 1, 2020 | ImputationMissing Values | CodeCode Available | 0 |
| The Reciprocal Bayesian LASSO | Jan 23, 2020 | Bayesian InferenceModel Selection | CodeCode Available | 0 |
| The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time | Jun 23, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 |
| Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection | Feb 7, 2020 | Variable Selection | CodeCode Available | 0 |
| A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms | Apr 12, 2022 | Uncertainty QuantificationVariable Selection | CodeCode Available | 0 |
| On the Selection Stability of Stability Selection and Its Applications | Nov 14, 2024 | Decision MakingVariable Selection | CodeCode Available | 0 |
| Reversible Jump PDMP Samplers for Variable Selection | Oct 22, 2020 | Variable Selection | CodeCode Available | 0 |
| 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 |
