| False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening | Jan 18, 2024 | Graph LearningVariable Selection | —Unverified | 0 | 0 |
| False Discovery Rate Control via Debiased Lasso | Mar 12, 2018 | Variable Selection | —Unverified | 0 | 0 |
| A gradient-based variable selection for binary classification in reproducing kernel Hilbert space | Sep 29, 2021 | Binary ClassificationVariable Selection | —Unverified | 0 | 0 |
| A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife | Jun 19, 2017 | Selection biasVariable Selection | —Unverified | 0 | 0 |
| ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso | Sep 22, 2020 | Feature EngineeringVariable Selection | —Unverified | 0 | 0 |
| On feature selection in double-imbalanced data settings: a Random Forest approach | Jun 12, 2025 | feature selectionVariable Selection | —Unverified | 0 | 0 |
| Exhaustive search for sparse variable selection in linear regression | Jul 7, 2017 | Astronomyregression | —Unverified | 0 | 0 |
| Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc) | May 30, 2024 | ClusteringModel Selection | —Unverified | 0 | 0 |
| Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation | Jan 4, 2019 | ClassificationDensity Estimation | —Unverified | 0 | 0 |
| Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models | Feb 6, 2024 | Mathematical ReasoningVariable Selection | —Unverified | 0 | 0 |
