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Simple, Optimal Algorithms for Random Sampling Without Replacement

Simple, Optimal Algorithms for Random Sampling Without Replacement

11 April 2021
Daniel Ting
ArXiv (abs)PDFHTMLGithub

Papers citing "Simple, Optimal Algorithms for Random Sampling Without Replacement"

3 / 3 papers shown
Scalable Subsampling Inference for Deep Neural Networks
Scalable Subsampling Inference for Deep Neural NetworksACM / IMS Journal of Data Science (JIDS), 2024
Kejin Wu
D. Politis
213
4
0
14 May 2024
A Simple Bootstrap for Chatterjee's Rank Correlation
A Simple Bootstrap for Chatterjee's Rank CorrelationBiometrika (Biometrika), 2023
Holger Dette
Marius Kroll
364
11
0
02 Aug 2023
Scalable subsampling: computation, aggregation and inference
Scalable subsampling: computation, aggregation and inference
D. Politis
202
9
0
13 Dec 2021
1
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