Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares -- ICML

25 May 2015

Papers citing "Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares -- ICML"

5 / 5 papers shown

Title
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression Michal Derezinski K. Clarkson Michael W. Mahoney Manfred K. Warmuth 113 25 0 04 Feb 2019
Stochastic Subsampling for Factorizing Huge Matrices A. Mensch Julien Mairal Bertrand Thirion Gaël Varoquaux 60 30 0 19 Jan 2017
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models Yining Wang Adams Wei Yu Aarti Singh 46 2 0 09 Jan 2016
Random projections for Bayesian regression Leo N. Geppert K. Ickstadt Alexander Munteanu Jens Quedenfeld C. Sohler 82 46 0 23 Apr 2015
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares Garvesh Raskutti Michael W. Mahoney 108 97 0 23 Jun 2014