Optimal Weighted (cid:96)2 Regularization in Overparameterized Linear Regression

doi:doi:10.57702/o6qyo16z

Optimal Weighted (cid:96)2 Regularization in Overparameterized Linear Regression

The dataset is used to study the optimal weighted (cid:96)2 regularization in overparameterized linear regression. The dataset consists of 1000 samples, each with 100 features, and is generated using a linear regression model with a Gaussian prior.

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Cite this as

Denny Wu, Ji Xu (2024). Dataset: Optimal Weighted (cid:96)2 Regularization in Overparameterized Linear Regression. https://doi.org/10.57702/o6qyo16z

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1903.08560
Author	Denny Wu
More Authors	Ji Xu
Homepage	https://ieeexplore.ieee.org/document/9161114