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Efficient Approximate Recovery from Pooled Data Using Doubly Regular
  Pooling Schemes

Efficient Approximate Recovery from Pooled Data Using Doubly Regular Pooling Schemes

28 February 2023
Max Hahn-Klimroth
Dominik Kaaser
M. Rau
    FedML
ArXiv (abs)PDFHTML

Papers citing "Efficient Approximate Recovery from Pooled Data Using Doubly Regular Pooling Schemes"

10 / 10 papers shown
Title
Statistical and Computational Phase Transitions in Group Testing
Statistical and Computational Phase Transitions in Group Testing
A. Coja-Oghlan
Oliver Gebhard
Max Hahn-Klimroth
Alexander S. Wein
Ilias Zadik
62
20
0
15 Jun 2022
Distributed Reconstruction of Noisy Pooled Data
Distributed Reconstruction of Noisy Pooled Data
Max Hahn-Klimroth
Dominik Kaaser
FedML
77
6
0
14 Apr 2022
Near optimal efficient decoding from pooled data
Near optimal efficient decoding from pooled data
Max Hahn-Klimroth
Noëla Müller
53
11
0
09 Aug 2021
Random and quasi-random designs in group testing
Random and quasi-random designs in group testing
J. Noonan
A. Zhigljavsky
42
2
0
15 Jan 2021
Neural Group Testing to Accelerate Deep Learning
Neural Group Testing to Accelerate Deep Learning
Weixin Liang
James Zou
OOD
55
20
0
21 Nov 2020
Group Testing: An Information Theory Perspective
Group Testing: An Information Theory Perspective
Matthew Aldridge
O. Johnson
Jonathan Scarlett
54
285
0
15 Feb 2019
Phase Transitions in the Pooled Data Problem
Phase Transitions in the Pooled Data Problem
Jonathan Scarlett
Volkan Cevher
43
23
0
18 Oct 2017
Improved group testing rates with constant column weight designs
Improved group testing rates with constant column weight designs
Matthew Aldridge
O. Johnson
Jonathan Scarlett
31
22
0
10 Feb 2016
The capacity of Bernoulli nonadaptive group testing
The capacity of Bernoulli nonadaptive group testing
Matthew Aldridge
39
42
0
16 Nov 2015
Concentration Inequalities for Bounded Random Vectors
Concentration Inequalities for Bounded Random Vectors
Xinjiao Chen
49
7
0
30 Aug 2013
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