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Lasso with Latents: Efficient Estimation, Covariate Rescaling, and
  Computational-Statistical Gaps

Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps

23 February 2024
Jonathan A. Kelner
Frederic Koehler
Raghu Meka
Dhruv Rohatgi
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Papers citing "Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps"

2 / 2 papers shown
Title
Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression
Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression
Gabriel Arpino
R. Venkataramanan
28
4
0
03 Mar 2023
Optimistic Rates: A Unifying Theory for Interpolation Learning and
  Regularization in Linear Regression
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression
Lijia Zhou
Frederic Koehler
Danica J. Sutherland
Nathan Srebro
87
24
0
08 Dec 2021
1