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

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

4 February 2019
Michal Derezinski
K. Clarkson
Michael W. Mahoney
Manfred K. Warmuth
ArXiv (abs)PDFHTML

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

11 / 11 papers shown
Title
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
Michal Dereziñski
Daniel LeJeune
Deanna Needell
E. Rebrova
84
4
0
09 May 2024
A Faster Sampler for Discrete Determinantal Point Processes
A Faster Sampler for Discrete Determinantal Point Processes
Simon Barthelmé
Nicolas M Tremblay
P. Amblard
38
5
0
31 Oct 2022
Algorithmic Gaussianization through Sketching: Converting Data into
  Sub-gaussian Random Designs
Algorithmic Gaussianization through Sketching: Converting Data into Sub-gaussian Random Designs
Michal Derezinski
81
5
0
21 Jun 2022
Query Complexity of Least Absolute Deviation Regression via Robust
  Uniform Convergence
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence
Xue Chen
Michal Derezinski
63
31
0
03 Feb 2021
Sparse sketches with small inversion bias
Sparse sketches with small inversion bias
Michal Derezinski
Zhenyu Liao
Yan Sun
Michael W. Mahoney
107
22
0
21 Nov 2020
Debiasing Distributed Second Order Optimization with Surrogate Sketching
  and Scaled Regularization
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization
Michal Derezinski
Burak Bartan
Mert Pilanci
Michael W. Mahoney
53
27
0
02 Jul 2020
Determinantal Point Processes in Randomized Numerical Linear Algebra
Determinantal Point Processes in Randomized Numerical Linear Algebra
Michal Derezinski
Michael W. Mahoney
78
81
0
07 May 2020
Asymptotic Analysis of Sampling Estimators for Randomized Numerical
  Linear Algebra Algorithms
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms
Ping Ma
Xinlian Zhang
Xin Xing
Jingyi Ma
Michael W. Mahoney
104
57
0
24 Feb 2020
Improved guarantees and a multiple-descent curve for Column Subset
  Selection and the Nyström method
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nyström method
Michal Derezinski
Rajiv Khanna
Michael W. Mahoney
63
10
0
21 Feb 2020
Exact expressions for double descent and implicit regularization via
  surrogate random design
Exact expressions for double descent and implicit regularization via surrogate random design
Michal Derezinski
Feynman T. Liang
Michael W. Mahoney
82
78
0
10 Dec 2019
Bayesian experimental design using regularized determinantal point
  processes
Bayesian experimental design using regularized determinantal point processes
Michal Derezinski
Feynman T. Liang
Michael W. Mahoney
48
26
0
10 Jun 2019
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