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Best Principal Submatrix Selection for the Maximum Entropy Sampling
  Problem: Scalable Algorithms and Performance Guarantees
v1v2v3 (latest)

Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees

Operational Research (OR), 2020
23 January 2020
Yongchun Li
Weijun Xie
ArXiv (abs)PDFHTML

Papers citing "Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees"

3 / 3 papers shown
The Augmented Factorization Bound for Maximum-Entropy Sampling
The Augmented Factorization Bound for Maximum-Entropy SamplingConference on Integer Programming and Combinatorial Optimization (IPCO), 2024
Yongchun Li
122
5
0
14 Oct 2024
Convex relaxation for the generalized maximum-entropy sampling problem
Convex relaxation for the generalized maximum-entropy sampling problem
Gabriel Ponte
M. Fampa
Jon Lee
202
6
0
01 Apr 2024
Variable Selection for Kernel Two-Sample Tests
Variable Selection for Kernel Two-Sample Tests
Jie Wang
Santanu S. Dey
Yao Xie
385
6
0
15 Feb 2023
1
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