scientific article; zbMATH DE number 7370644
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Publication:4999107
Louis Abraham, Feng Ruan, Ismael Lemhadri, Robert Tibshirani
Publication date: 9 July 2021
Full work available at URL: https://arxiv.org/abs/1907.12207
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Cites Work
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- Exact post-selection inference, with application to the Lasso
- On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
- Hierarchical sparse modeling: a choice of two group Lasso formulations
- A significance test for the lasso
- Feature selection with test cost constraint
- Exact matrix completion via convex optimization
- Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
- Statistical learning and selective inference
- 10.1162/153244303322753616
- Variable Selection With the Strong Heredity Constraint and Its Oracle Property
- Variable Selection Using Adaptive Nonlinear Interaction Structures in High Dimensions
- High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
- Extremely randomized trees