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Reverse iterative volume sampling for linear regression

Reverse iterative volume sampling for linear regression

6 June 2018
Michal Derezinski
Manfred K. Warmuth
ArXivPDFHTML

Papers citing "Reverse iterative volume sampling for linear regression"

8 / 8 papers shown
Title
Optimal Subsampling Design for Polynomial Regression in one Covariate
Optimal Subsampling Design for Polynomial Regression in one Covariate
Torsten Reuter
Rainer Schwabe
24
6
0
09 Jan 2023
More Efficient Sampling for Tensor Decomposition With Worst-Case
  Guarantees
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
Osman Asif Malik
33
14
0
14 Oct 2021
Sparse sketches with small inversion bias
Sparse sketches with small inversion bias
Michal Derezinski
Zhenyu Liao
Yan Sun
Michael W. Mahoney
23
21
0
21 Nov 2020
Active Online Learning with Hidden Shifting Domains
Active Online Learning with Hidden Shifting Domains
Yining Chen
Haipeng Luo
Tengyu Ma
Chicheng Zhang
21
5
0
25 Jun 2020
Determinantal Point Processes in Randomized Numerical Linear Algebra
Determinantal Point Processes in Randomized Numerical Linear Algebra
Michal Derezinski
Michael W. Mahoney
28
76
0
07 May 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
21
10
0
21 Feb 2020
Convergence Analysis of Block Coordinate Algorithms with Determinantal
  Sampling
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling
Mojmír Mutný
Michal Derezinski
Andreas Krause
30
20
0
25 Oct 2019
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,123
0
25 Jul 2012
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