Robust regression using biased objectives

DOI10.1007/s10994-017-5653-5zbMath1460.62105OpenAlexW2736273880MaRDI QIDQ1698865

Matthew J. Holland, Kazushi Ikeda

Publication date: 16 February 2018

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-017-5653-5

zbMATH Keywords

risk minimizationheavy-tailed noiserobust loss

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric robustness (62G35) Statistics of extreme values; tail inference (62G32) General nonlinear regression (62J02) Missing data (62D10)

Related Items

Efficient learning with robust gradient descent

Uses Software

• R
• AdaBoost.MH
• BRENT

Cites Work

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