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Efficient Inference Without Trading-off Regret in Bandits: An Allocation
  Probability Test for Thompson Sampling

Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling

30 October 2021
Nina Deliu
Joseph Jay Williams
S. Villar
ArXiv (abs)PDFHTML

Papers citing "Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling"

6 / 6 papers shown
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in
  Practice
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice
Tanner Fiez
Houssam Nassif
Yu-Cheng Chen
Sergio Gamez
Lalit P. Jain
330
7
0
16 Feb 2024
Thompson sampling for zero-inflated count outcomes with an application
  to the Drink Less mobile health study
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health studyAnnals of Applied Statistics (AOAS), 2023
Xueqing Liu
Nina Deliu
Tanujit Chakraborty
Lauren Bell
Bibhas Chakraborty
179
3
0
24 Nov 2023
Opportunities for Adaptive Experiments to Enable Continuous Improvement
  in Computer Science Education
Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science EducationWestern Canadian Conference on Computing Education (WCCCE), 2023
Ilya Musabirov
Angela M. Zavaleta Bernuy
Pan Chen
Michael Liut
Joseph Jay Williams
166
1
0
18 Oct 2023
Multi-disciplinary fairness considerations in machine learning for
  clinical trials
Multi-disciplinary fairness considerations in machine learning for clinical trialsConference on Fairness, Accountability and Transparency (FAccT), 2022
Isabel Chien
Nina Deliu
Richard Turner
Adrian Weller
S. Villar
Niki Kilbertus
FaML
148
26
0
18 May 2022
Integrating Reward Maximization and Population Estimation: Sequential
  Decision-Making for Internal Revenue Service Audit Selection
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit SelectionAAAI Conference on Artificial Intelligence (AAAI), 2022
Peter Henderson
Ben Chugg
Brandon R. Anderson
Kristen M. Altenburger
Alex Turk
J. Guyton
Jacob Goldin
Mark A. Lemley
OffRL
185
10
0
25 Apr 2022
Reinforcement Learning in Modern Biostatistics: Constructing Optimal
  Adaptive Interventions
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive InterventionsInternational Statistical Review (ISR), 2022
Nina Deliu
Joseph Jay Williams
B. Chakraborty
OffRL
253
16
0
04 Mar 2022
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