Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low

10 August 2017

Papers citing "Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low"

9 / 9 papers shown

Title
Group COMBSS: Group Selection via Continuous Optimization Anant Mathur Sarat Moka Benoit Liquet Z. Botev 44 0 0 20 Apr 2024
End-to-end Feature Selection Approach for Learning Skinny Trees Shibal Ibrahim Kayhan Behdin Rahul Mazumder 30 0 0 28 Oct 2023
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution Jianhao Ma S. Fattahi 49 5 0 15 Jul 2022
SRMD: Sparse Random Mode Decomposition Nicholas Richardson Hayden Schaeffer Giang Tran 29 11 0 12 Apr 2022
HARFE: Hard-Ridge Random Feature Expansion Esha Saha Hayden Schaeffer Giang Tran 48 14 0 06 Feb 2022
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions Shibal Ibrahim P. Radchenko E. Ben-David Rahul Mazumder 31 2 0 24 Aug 2021
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives Hussein Hazimeh Rahul Mazumder P. Radchenko 42 27 0 14 Apr 2021
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization Hussein Hazimeh Rahul Mazumder A. Saab 98 88 0 13 Apr 2020
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 135 380 0 11 Jul 2010