Sofia S. Villar

18 papers A* 2A 1Journal 12Unranked 3
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
Exact statistical analysis for response-adaptive clinical trials: A general and computationally tractable approach.
Comput. Stat. Data Anal.
Stef Baas, Peter Jacko, Sofia S. Villar
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
Computing the Performance of A New Adaptive Sampling Algorithm Based on The Gittins Index in Experiments with Exponential Rewards.
CoRR
James K. He, Sofia S. Villar, Lida Mavrogonatou
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 J jnl
A comparison of allocation strategies for optimising clinical trial designs under variance heterogeneity.
Comput. Stat. Data Anal.
Lida Mavrogonatou, Yuxuan Sun, David S. Robertson, Sofia S. Villar
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
Some performance considerations when using multi-armed bandit algorithms in the presence of missing data.
CoRR
Xijin Chen, Kim May Lee, Sofia S. Villar, David S. Robertson
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 A* conf
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints.
ICML
Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar
2020 J jnl
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints.
CoRR
Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar
2017 J jnl
A Bayesian adaptive design for clinical trials in rare diseases.
Comput. Stat. Data Anal.
S. Faye Williamson, Peter Jacko, Sofia S. Villar, Thomas Jaki
2012 A conf
Opportunistic schedulers for optimal scheduling of flows in wireless systems with ARQ feedback.
ITC
Peter Jacko, Sofia S. Villar
2011 — conf
Sensor scheduling for hunting elusive hiding targets via whittle's restless bandit index policy.
NetGCoop
José Niño-Mora, Sofia S. Villar
2009 — conf
Multitarget tracking via restless bandit marginal productivity indices and Kalman filter in discrete time.
CDC
José Niño-Mora, Sofia S. Villar