An Analysis of Sketched IRLS for Accelerated Sparse Residual Regression

no code implementations • ECCV 2020 • Daichi Iwata, Michael Waechter, Wen-Yan Lin, Yasuyuki Matsushita

This paper studies the problem of sparse residual regression, i. e., learning a linear model using a norm that favors solutions in which the residuals are sparsely distributed.

regression