A Risk Comparison of Ordinary Least Squares vs Ridge Regression

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A Risk Comparison of Ordinary Least Squares vs Ridge Regression

4 May 2011

Paramveer S. Dhillon

Dean Phillips Foster

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Papers citing "A Risk Comparison of Ordinary Least Squares vs Ridge Regression"

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Title
Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models? Dominic Richards Yan Sun Patrick Rebeschini 64 3 0 26 Aug 2021
Deep learning: a statistical viewpoint Peter L. Bartlett Andrea Montanari Alexander Rakhlin 73 279 0 16 Mar 2021
EigenGame Unloaded: When playing games is better than optimizing I. Gemp Brian McWilliams Claire Vernade T. Graepel 65 13 0 08 Feb 2021
Dimensionality reduction, regularization, and generalization in overparameterized regressions Ningyuan Huang D. Hogg Soledad Villar 86 15 0 23 Nov 2020
A Deterministic Streaming Sketch for Ridge Regression Benwei Shi J. M. Phillips 22 4 0 05 Feb 2020
Adaptive Locality Preserving Regression Jie Wen Zuofeng Zhong Zheng Zhang Lunke Fei Zhihui Lai Runze Chen 38 53 0 03 Jan 2019
A Continuous-Time View of Early Stopping for Least Squares Alnur Ali J. Zico Kolter Robert Tibshirani 85 97 0 23 Oct 2018
The Hardness of Conditional Independence Testing and the Generalised Covariance Measure Rajen Dinesh Shah J. Peters 182 303 0 19 Apr 2018
Random Projections For Large-Scale Regression Farman Ali C. Heinze K. H. Kim 245 45 0 19 Jan 2017
Principal Component Projection Without Principal Component Analysis Roy Frostig Cameron Musco Christopher Musco Aaron Sidford 73 32 0 22 Feb 2016
Foundations of Coupled Nonlinear Dimensionality Reduction M. Mohri Afshin Rostamizadeh Dmitry Storcheus 39 13 0 29 Sep 2015
A Randomized Algorithm for CCA Paul Mineiro Nikos Karampatziakis 77 20 0 13 Nov 2014
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 203 282 0 09 Aug 2012