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Nina Deliu
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2020 – today
- 2024
- [c3]Harsh Kumar, Tong Li, Jiakai Shi, Ilya Musabirov, Rachel Kornfield, Jonah Meyerhoff, Ananya Bhattacharjee, Chris J. Karr, Theresa Nguyen, David C. Mohr, Anna N. Rafferty, Sofia S. Villar, Nina Deliu
, Joseph Jay Williams:
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. AAAI 2024: 22906-22912 - [i8]Nina Deliu, Bibhas Chakraborty:
Artificial Intelligence-based Decision Support Systems for Precision and Digital Health. CoRR abs/2407.16062 (2024) - 2023
- [i7]Harsh Kumar, Tong Li, Jiakai Shi, Ilya Musabirov, Rachel Kornfield, Jonah Meyerhoff, Ananya Bhattacharjee, Chris J. Karr, Theresa Nguyen, David C. Mohr, Anna N. Rafferty
, Sofia S. Villar, Nina Deliu, Joseph Jay Williams:
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. CoRR abs/2310.18326 (2023) - [i6]Xueqing Liu, Nina Deliu, Tanujit Chakraborty
, Lauren Bell, Bibhas Chakraborty:
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study. CoRR abs/2311.14359 (2023) - 2022
- [c2]Isabel Chien, Nina Deliu
, Richard E. Turner, Adrian Weller, Sofia S. Villar, Niki Kilbertus:
Multi-disciplinary fairness considerations in machine learning for clinical trials. FAccT 2022: 906-924 - [i5]Nina Deliu
, Joseph Jay Williams, Bibhas Chakraborty:
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions. CoRR abs/2203.02605 (2022) - [i4]Isabel Chien, Nina Deliu
, Richard E. Turner, Adrian Weller, Sofia S. Villar, Niki Kilbertus:
Multi-disciplinary fairness considerations in machine learning for clinical trials. CoRR abs/2205.08875 (2022) - 2021
- [j1]Caroline A. Figueroa
, Adrián Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu
, Urmimala Sarkar, Joseph Jay Williams, Courtney R. Lyles
:
Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions. J. Am. Medical Informatics Assoc. 28(6): 1225-1234 (2021) - [i3]Joseph Jay Williams, Jacob Nogas, Nina Deliu
, Hammad Shaikh, Sofia S. Villar, Audrey Durand, Anna N. Rafferty:
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments. CoRR abs/2103.12198 (2021) - [i2]Nina Deliu, Joseph Jay Williams, Sofia S. Villar:
Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling. CoRR abs/2111.00137 (2021) - [i1]Jacob Nogas, Tong Li, Fernando J. Yanez, Arghavan Modiri, Nina Deliu, Ben Prystawski, Sofia S. Villar, Anna N. Rafferty, Joseph Jay Williams:
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization. CoRR abs/2112.08507 (2021) - 2020
- [c1]Caroline A. Figueroa, Adrián Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu, Urmimala Sarkar, Joseph Jay Williams
, Courtney R. Lyles:
Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones. AMIA 2020
Coauthor Index
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last updated on 2024-08-20 20:32 CEST by the dblp team
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