| The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties | Aug 20, 2018 | compressed sensingLearning Theory | —Unverified | 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 |
| High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking | Aug 2, 2018 | regressionVariable Selection | CodeCode Available | 0 |
| A Theory of Dichotomous Valuation with Applications to Variable Selection | Aug 1, 2018 | Variable Selection | —Unverified | 0 |
| Group-sparse SVD Models and Their Applications in Biological Data | Jul 28, 2018 | Variable Selection | —Unverified | 0 |
| Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework | Jul 25, 2018 | PredictionPrognosis | —Unverified | 0 |
| A Unified Framework for Sparse Relaxed Regularized Regression: SR3 | Jul 14, 2018 | compressed sensingComputational Efficiency | —Unverified | 0 |
| Orthogonal Matching Pursuit for Text Classification | Jul 12, 2018 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Nonoverlap-Promoting Variable Selection | Jul 1, 2018 | Variable Selection | —Unverified | 0 |
| Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach | Jul 1, 2018 | regressionVariable Selection | —Unverified | 0 |
