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| Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold Regression | Feb 17, 2022 | Model Selectionregression | CodeCode Available | 0 |
| Inference of Multiscale Gaussian Graphical Model | Feb 11, 2022 | Clusteringmodel | —Unverified | 0 |
| Yordle: An Efficient Imitation Learning for Branch and Bound | Feb 2, 2022 | BIG-bench Machine LearningCombinatorial Optimization | —Unverified | 0 |
| VC-PCR: A Prediction Method based on Supervised Variable Selection and Clustering | Feb 2, 2022 | ClusteringPrediction | —Unverified | 0 |
| Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling | Jan 26, 2022 | Additive modelsDenoising | —Unverified | 0 |
| A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study | Jan 10, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 |
| Bayesian Approaches to Shrinkage and Sparse Estimation | Dec 22, 2021 | Bayesian Inferencequantile regression | CodeCode Available | 0 |
| Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection | Dec 22, 2021 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Variational Bayes for high-dimensional proportional hazards models with applications within gene expression | Dec 19, 2021 | Uncertainty QuantificationVariable Selection | CodeCode Available | 0 |
