An analysis of sketched IRLS for accelerated sparse residual regression

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. This is a common problem in a wide range of computer vision applications where a linear system has a lot more equations than...

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Bibliographic Details
Main Authors: IWATA, Daichi, WAECHTER, Michael, LIN, Wen-yan, MATSUSHITA, Yasuyuki
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/sis_research/6110
https://ink.library.smu.edu.sg/context/sis_research/article/7113/viewcontent/123570596.pdf
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Institution: Singapore Management University
Language: English

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