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A unified framework for bandit multiple testing

A unified framework for bandit multiple testing

15 July 2021
Ziyu Xu
Ruodu Wang
Aaditya Ramdas
ArXivPDFHTML

Papers citing "A unified framework for bandit multiple testing"

7 / 7 papers shown
Title
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Matteo Zecchin
Sangwoo Park
Osvaldo Simeone
LM&MA
69
3
0
24 Sep 2024
E-values as unnormalized weights in multiple testing
E-values as unnormalized weights in multiple testing
Nikolaos Ignatiadis
Ruodu Wang
Aaditya Ramdas
27
23
0
26 Apr 2022
Testing exchangeability: fork-convexity, supermartingales, and
  e-processes
Testing exchangeability: fork-convexity, supermartingales, and e-processes
Aaditya Ramdas
Johannes Ruf
Martin Larsson
Wouter M. Koolen
56
64
0
01 Feb 2021
Estimating means of bounded random variables by betting
Estimating means of bounded random variables by betting
Ian Waudby-Smith
Aaditya Ramdas
53
148
0
19 Oct 2020
False discovery rate control with e-values
False discovery rate control with e-values
Ruodu Wang
Aaditya Ramdas
24
90
0
06 Sep 2020
Admissible ways of merging p-values under arbitrary dependence
Admissible ways of merging p-values under arbitrary dependence
V. Vovk
Bin Wang
Ruodu Wang
38
65
0
28 Jul 2020
Two simple sufficient conditions for FDR control
Two simple sufficient conditions for FDR control
Gilles Blanchard
Étienne Roquain
109
121
0
11 Feb 2008
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