Nina Deliu

17 papers A* 1A 1Misc 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Personalized Exercise Assistant using Reinforcement Learning (PEARL): Results from a four-arm Randomized-controlled Trial.
CoRR
Amy A. Lee, Narayan Hegde, Nina Deliu, Emily Rosenzweig, Arun Suggala, Sriram Lakshminarasimhan, Qian He, John Hernandez, Martin Seneviratne, Rahul Singh, Pradnesh Kalkar, Karthikeyan Shanmugam, Aravindan Raghuveer, Abhimanyu Singh, My Nguyen, James Taylor, Jatin Alla, Sofia S. Villar, Hülya Emir-Farinas
2025 J jnl
A copula-based Bayesian framework for doping detection.
Comput. Stat.
Nina Deliu, Brunero Liseo
2025 J jnl
Conformal Bandits: Bringing statistical validity and reward efficiency to the small-gap regime.
CoRR
Simone Cuonzo, Nina Deliu
2025 A conf
Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge.
LAK
Ilya Musabirov, Mohi Reza, Haochen Song, Steven Moore, Pan Chen, Harsh Kumar, Tong Li, John C. Stamper, Norman L. Bier, Anna N. Rafferty, Thomas W. Price, Nina Deliu, Audrey Durand, Michael Liut, Joseph Jay Williams
2024 — conf
Anomaly Detection in Multivariate Profiles with Conformal Bayesian Inference.
COPA
Nina Deliu, Brunero Liseo
2024 J jnl
Artificial Intelligence-based Decision Support Systems for Precision and Digital Health.
CoRR
Nina Deliu, Bibhas Chakraborty
2024 A* conf
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health.
AAAI
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
2023 J jnl
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study.
CoRR
Xueqing Liu, Nina Deliu, Tanujit Chakraborty, Lauren Bell, Bibhas Chakraborty
2023 J jnl
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health.
CoRR
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
2022 — conf
Multi-disciplinary fairness considerations in machine learning for clinical trials.
FAccT
Isabel Chien, Nina Deliu, Richard E. Turner, Adrian Weller, Sofia S. Villar, Niki Kilbertus
2022 J jnl
Multi-disciplinary fairness considerations in machine learning for clinical trials.
CoRR
Isabel Chien, Nina Deliu, Richard E. Turner, Adrian Weller, Sofia S. Villar, Niki Kilbertus
2022 J jnl
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions.
CoRR
Nina Deliu, Joseph Jay Williams, Bibhas Chakraborty
2021 J jnl
Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions.
J. Am. Medical Informatics Assoc.
Caroline A. Figueroa, Adrián Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu, Urmimala Sarkar, Joseph Jay Williams, Courtney R. Lyles
2021 J jnl
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization.
CoRR
Jacob Nogas, Tong Li, Fernando J. Yanez, Arghavan Modiri, Nina Deliu, Ben Prystawski, Sofia S. Villar, Anna N. Rafferty, Joseph Jay Williams
2021 J jnl
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments.
CoRR
Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia S. Villar, Audrey Durand, Anna N. Rafferty
2021 J jnl
Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling.
CoRR
Nina Deliu, Joseph Jay Williams, Sofia S. Villar
2020 Misc conf
Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones.
AMIA
Caroline A. Figueroa, Adrián Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu, Urmimala Sarkar, Joseph Jay Williams, Courtney R. Lyles