A Bandit Approach to Multiple Testing with False Discovery Control

v1v2v3 (latest)

A Bandit Approach to Multiple Testing with False Discovery Control

6 September 2018

ArXiv (abs)PDF HTML

Papers citing "A Bandit Approach to Multiple Testing with False Discovery Control"

6 / 6 papers shown

Title
Comparing Sequential Forecasters Yo Joong Choe Aaditya Ramdas AI4TS 132 12 0 30 Sep 2021
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 Lalit P. Jain Kevin Jamieson 47 12 0 14 Aug 2020
The True Sample Complexity of Identifying Good Arms Julian Katz-Samuels Kevin Jamieson 157 42 0 15 Jun 2019
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 Steven R. Howard Aaditya Ramdas Jon D. McAuliffe Jasjeet Sekhon 125 246 0 18 Oct 2018