| DOLDA - a regularized supervised topic model for high-dimensional multi-class regression | Jan 31, 2016 | General ClassificationMulti-class Classification | CodeCode Available | 0 |
| Stability Selection via Variable Decorrelation | May 27, 2025 | Variable Selection | CodeCode Available | 0 |
| A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning | Aug 16, 2018 | BIG-bench Machine LearningCompressive Sensing | CodeCode Available | 0 |
| Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data | Jan 17, 2023 | Dimensionality Reductionfeature selection | CodeCode Available | 0 |
| Improving Network Slimming with Nonconvex Regularization | Oct 3, 2020 | compressed sensingimage-classification | CodeCode Available | 0 |
| Iteratively Reweighted _1-Penalized Robust Regression | Jul 9, 2019 | regressionVariable Selection | CodeCode Available | 0 |
| TreeDQN: Learning to minimize Branch-and-Bound tree | Jun 9, 2023 | Combinatorial Optimizationreinforcement-learning | CodeCode Available | 0 |
| Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties | Sep 22, 2020 | DenoisingImage Denoising | CodeCode Available | 0 |
| Effect of hyperparameters on variable selection in random forests | Sep 13, 2023 | SensitivityVariable Selection | CodeCode Available | 0 |
| Proximal Iteration for Nonlinear Adaptive Lasso | Dec 7, 2024 | Variable Selection | CodeCode Available | 0 |
