Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression

4 February 2019

Papers citing "Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression"

6 / 6 papers shown

Title
Sparse sketches with small inversion bias Michal Derezinski Zhenyu Liao Yan Sun Michael W. Mahoney 23 21 0 21 Nov 2020
Determinantal Point Processes in Randomized Numerical Linear Algebra Michal Derezinski Michael W. Mahoney 34 77 0 07 May 2020
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms Ping Ma Xinlian Zhang Xin Xing Jingyi Ma Michael W. Mahoney 16 55 0 24 Feb 2020
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nyström method Michal Derezinski Rajiv Khanna Michael W. Mahoney 29 10 0 21 Feb 2020
Exact expressions for double descent and implicit regularization via surrogate random design Michal Derezinski Feynman T. Liang Michael W. Mahoney 27 77 0 10 Dec 2019
Reverse iterative volume sampling for linear regression Michal Derezinski Manfred K. Warmuth 49 43 0 06 Jun 2018