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stat.ML2022
Concentration of Random Feature Matrices in High-Dimensions
Zhijun Chen, Hayden Schaeffer, Rachel Ward
The spectra of random feature matrices provide essential information on the conditioning of the linear system used in random feature regression problems and are thus connected to t…
stat.ML2022★ 13 cited
HARFE: Hard-Ridge Random Feature Expansion
Esha Saha, Hayden Schaeffer, Giang Tran
We propose a random feature model for approximating high-dimensional sparse additive functions called the hard-ridge random feature expansion method (HARFE). This method utilizes a…