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2004.06230
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Power Constrained Bandits
Machine Learning in Health Care (MLHC), 2020
13 April 2020
Jiayu Yao
Emma Brunskill
Weiwei Pan
Susan Murphy
Finale Doshi-Velez
Re-assign community
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Papers citing
"Power Constrained Bandits"
25 / 25 papers shown
Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics
Fengxu Li
Stephanie M. Carpenter
Matthew P. Buman
Yonatan Mintz
72
0
0
04 Nov 2025
The Good, the Bad, and the Sampled: a No-Regret Approach to Safe Online Classification
Tavor Z. Baharav
Spyros Dragazis
Aldo Pacchiano
124
0
0
01 Oct 2025
Beyond ATE: Multi-Criteria Design for A/B Testing
Jiachun Li
Kaining Shi
David Simchi-Levi
125
0
0
06 Sep 2025
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems
Health systems and reform (HSR), 2024
África Periánez
Ana Fernández del Río
Ivan Nazarov
Enric Jané
Moiz Hassan
Aditya Rastogi
Dexian Tang
247
19
0
24 Sep 2024
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation
Anna L. Trella
Susobhan Ghosh
Erin Bonar
Lara N. Coughlin
Finale Doshi-Velez
...
Vivek Shetty
Maureen Walton
Iris Yan
Kelly W. Zhang
Susan Murphy
132
1
0
30 Aug 2024
Data-Centric Approach to Constrained Machine Learning: A Case Study on Conway's Game of Life
A. Bibin
Anton Dereventsov
140
2
0
23 Aug 2024
Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx
Ana Fernández del Río
Michael Brennan Leong
Paulo Saraiva
Ivan Nazarov
Aditya Rastogi
Moiz Hassan
Dexian Tang
África Periánez
OffRL
OnRL
216
2
0
15 Aug 2024
Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services
Ana Fernández del Río
Michael Brennan Leong
Paulo Saraiva
Ivan Nazarov
Aditya Rastogi
Moiz Hassan
Dexian Tang
África Periánez
OffRL
173
6
0
14 Aug 2024
Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings
África Periánez
Kathrin Schmitz
Lazola Makhupula
Moiz Hassan
Moeti Moleko
Ana Fernández del Río
Ivan Nazarov
Aditya Rastogi
Dexian Tang
OffRL
186
0
0
14 Aug 2024
Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
Anna L. Trella
Kelly W. Zhang
Inbal Nahum-Shani
Vivek Shetty
Iris Yan
Finale Doshi-Velez
Susan A. Murphy
OffRL
OnRL
238
4
0
26 Feb 2024
Privacy Preserving Adaptive Experiment Design
International Conference on Machine Learning (ICML), 2024
Jiachun Li
Kaining Shi
David Simchi-Levi
477
1
0
16 Jan 2024
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study
Annals of Applied Statistics (AOAS), 2023
Xueqing Liu
Nina Deliu
Tanujit Chakraborty
Lauren Bell
Bibhas Chakraborty
186
3
0
24 Nov 2023
Adaptive Interventions with User-Defined Goals for Health Behavior Change
Aishwarya Mandyam
Matthew Joerke
William Denton
Barbara E. Engelhardt
Emma Brunskill
351
3
0
16 Nov 2023
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
Harsh Kumar
Tong Li
Jiakai Shi
Ilya Musabirov
Rachel Kornfield
...
David C. Mohr
Anna N. Rafferty
Sofia S. Villar
Nina Deliu
Joseph Jay Williams
165
11
0
13 Oct 2023
Online learning in bandits with predicted context
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Yongyi Guo
Ziping Xu
Susan Murphy
231
6
0
26 Jul 2023
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization
Neural Information Processing Systems (NeurIPS), 2023
Sanath Kumar Krishnamurthy
Ruohan Zhan
Susan Athey
Emma Brunskill
410
8
0
05 Jul 2023
Adaptive Interventions for Global Health: A Case Study of Malaria
África Periánez
A. Trister
Madhav Nekkar
Ana Fernández del Río
P. Alonso
192
1
0
03 Mar 2023
Entropy Regularization for Population Estimation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Ben Chugg
Peter Henderson
Jacob Goldin
Mark A. Lemley
161
3
0
24 Aug 2022
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care
AAAI Conference on Artificial Intelligence (AAAI), 2022
Anna L. Trella
Kelly W. Zhang
Inbal Nahum-Shani
Vivek Shetty
Finale Doshi-Velez
Susan Murphy
OnRL
172
29
0
15 Aug 2022
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization
Tong Li
Jacob Nogas
Haochen Song
Anna N. Rafferty
Eric M. Schwartz
...
Harsh Kumar
Nina Deliu
S. Villar
Dehan Kong
Joseph Jay Williams
274
6
0
15 Dec 2021
Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling
Nina Deliu
Joseph Jay Williams
S. Villar
230
12
0
30 Oct 2021
Statistical Consequences of Dueling Bandits
Nayan Saxena
Pan Chen
Emmy Liu
100
1
0
16 Oct 2021
Bandit Algorithms for Precision Medicine
Yangyi Lu
Ziping Xu
Ambuj Tewari
263
16
0
10 Aug 2021
Statistical Inference with M-Estimators on Adaptively Collected Data
Neural Information Processing Systems (NeurIPS), 2021
Kelly W. Zhang
Lucas Janson
Susan Murphy
OffRL
176
54
0
29 Apr 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
175
11
0
22 Mar 2021
1
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