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Convergence Analysis of Block Coordinate Algorithms with Determinantal
  Sampling

Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling

25 October 2019
Mojmír Mutný
Michal Derezinski
Andreas Krause
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Papers citing "Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling"

6 / 6 papers shown
Title
Sharp Analysis of Sketch-and-Project Methods via a Connection to
  Randomized Singular Value Decomposition
Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition
Michal Derezinski
E. Rebrova
22
16
0
20 Aug 2022
Optimization for Supervised Machine Learning: Randomized Algorithms for
  Data and Parameters
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters
Filip Hanzely
19
0
0
26 Aug 2020
Sampling from a $k$-DPP without looking at all items
Sampling from a kkk-DPP without looking at all items
Daniele Calandriello
Michal Derezinski
Michal Valko
11
22
0
30 Jun 2020
Precise expressions for random projections: Low-rank approximation and
  randomized Newton
Precise expressions for random projections: Low-rank approximation and randomized Newton
Michal Derezinski
Feynman T. Liang
Zhenyu A. Liao
Michael W. Mahoney
16
23
0
18 Jun 2020
Reverse iterative volume sampling for linear regression
Reverse iterative volume sampling for linear regression
Michal Derezinski
Manfred K. Warmuth
39
43
0
06 Jun 2018
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
160
1,122
0
25 Jul 2012
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