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A framework for Multi-A(rmed)/B(andit) testing with online FDR control
v1v2 (latest)

A framework for Multi-A(rmed)/B(andit) testing with online FDR control

16 June 2017
Fanny Yang
Aaditya Ramdas
Kevin Jamieson
Martin J. Wainwright
ArXiv (abs)PDFHTML

Papers citing "A framework for Multi-A(rmed)/B(andit) testing with online FDR control"

16 / 16 papers shown
Title
Cost-aware Generalized $α$-investing for Multiple Hypothesis
  Testing
Cost-aware Generalized ααα-investing for Multiple Hypothesis Testing
Thomas Cook
Harshit Dubey
John A. Lee
Guangyu Zhu
Ting Zhao
Patrick Flaherty
27
3
0
31 Oct 2022
Markovian Interference in Experiments
Markovian Interference in Experiments
Vivek F. Farias
Andrew A. Li
Tianyi Peng
Andrew Zheng
OffRL
78
33
0
06 Jun 2022
Multi-disciplinary fairness considerations in machine learning for
  clinical trials
Multi-disciplinary fairness considerations in machine learning for clinical trials
Isabel Chien
Nina Deliu
Richard Turner
Adrian Weller
S. Villar
Niki Kilbertus
FaML
71
23
0
18 May 2022
An Online Sequential Test for Qualitative Treatment Effects
An Online Sequential Test for Qualitative Treatment Effects
C. Shi
Shuang Luo
Hong-Tu Zhu
Rui Song
94
3
0
06 Nov 2021
A/B/n Testing with Control in the Presence of Subpopulations
A/B/n Testing with Control in the Presence of Subpopulations
Yoan Russac
C. Katsimerou
Dennis Bohle
Olivier Cappé
Aurélien Garivier
Wouter M. Koolen
135
28
0
29 Oct 2021
Challenges in Statistical Analysis of Data Collected by a Bandit
  Algorithm: An Empirical Exploration in Applications to Adaptively Randomized
  Experiments
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments
Joseph Jay Williams
Jacob Nogas
Nina Deliu
Hammad Shaikh
S. Villar
A. Durand
Anna N. Rafferty
AAML
66
10
0
22 Mar 2021
A New Perspective on Pool-Based Active Classification and
  False-Discovery Control
A New Perspective on Pool-Based Active Classification and False-Discovery Control
Lalit P. Jain
Kevin Jamieson
47
12
0
14 Aug 2020
Near-Optimal Confidence Sequences for Bounded Random Variables
Near-Optimal Confidence Sequences for Bounded Random Variables
Arun K. Kuchibhotla
Qinqing Zheng
51
7
0
09 Jun 2020
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement
  Learning Framework
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework
C. Shi
Xiaoyu Wang
Shuang Luo
Hongtu Zhu
Jieping Ye
R. Song
CMLOffRL
122
40
0
05 Feb 2020
Sequential estimation of quantiles with applications to A/B-testing and
  best-arm identification
Sequential estimation of quantiles with applications to A/B-testing and best-arm identification
Steven R. Howard
Aaditya Ramdas
132
60
0
24 Jun 2019
Asynchronous Online Testing of Multiple Hypotheses
Asynchronous Online Testing of Multiple Hypotheses
Tijana Zrnic
Aaditya Ramdas
Michael I. Jordan
102
31
0
12 Dec 2018
Time-uniform, nonparametric, nonasymptotic confidence sequences
Time-uniform, nonparametric, nonasymptotic confidence sequences
Steven R. Howard
Aaditya Ramdas
Jon D. McAuliffe
Jasjeet Sekhon
125
246
0
18 Oct 2018
A Bandit Approach to Multiple Testing with False Discovery Control
A Bandit Approach to Multiple Testing with False Discovery Control
Kevin Jamieson
Lalit P. Jain
72
23
0
06 Sep 2018
What Doubling Tricks Can and Can't Do for Multi-Armed Bandits
What Doubling Tricks Can and Can't Do for Multi-Armed Bandits
Lilian Besson
E. Kaufmann
95
116
0
19 Mar 2018
SAFFRON: an adaptive algorithm for online control of the false discovery
  rate
SAFFRON: an adaptive algorithm for online control of the false discovery rate
Aaditya Ramdas
Tijana Zrnic
Martin J. Wainwright
Michael I. Jordan
72
50
0
25 Feb 2018
Online control of the false discovery rate with decaying memory
Online control of the false discovery rate with decaying memory
Aaditya Ramdas
Fanny Yang
Martin J. Wainwright
Michael I. Jordan
92
63
0
02 Oct 2017
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