Nina Deliu

According to our database, Nina Deliu authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study.

Xueqing Liu, Nina Deliu, Tanujit Chakraborty, Lauren Bell, Bibhas Chakraborty

CoRR, 2023

2022

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions.

Nina Deliu, Joseph Jay Williams, Bibhas Chakraborty

CoRR, 2022

Multi-disciplinary fairness considerations in machine learning for clinical trials.

Isabel Chien, Nina Deliu, Richard E. Turner, Adrian Weller, Sofia S. Villar, Niki Kilbertus

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions.

Caroline A. Figueroa, Adrián Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu, Urmimala Sarkar, Joseph Jay Williams, Courtney R. Lyles

J. Am. Medical Informatics Assoc., 2021

Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization.

Jacob Nogas, Tong Li, Fernando J. Yanez, Arghavan Modiri, Nina Deliu, Ben Prystawski, Sofia S. Villar, Anna N. Rafferty, Joseph Jay Williams

CoRR, 2021

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

Nina Deliu, Joseph Jay Williams, Sofia S. Villar

CoRR, 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, Sofia S. Villar, Audrey Durand, Anna N. Rafferty

CoRR, 2021

2020

Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones.

Caroline A. Figueroa, Adrián Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu, Urmimala Sarkar, Joseph Jay Williams, Courtney R. Lyles

Proceedings of the AMIA 2020, 2020