Sofia S. Villar

According to our database, Sofia S. Villar authored at least 13 papers between 2009 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

Computing the Performance of A New Adaptive Sampling Algorithm Based on The Gittins Index in Experiments with Exponential Rewards.

James K. He, Sofia S. Villar, Lida Mavrogonatou

CoRR, 2023

2022

A comparison of allocation strategies for optimising clinical trial designs under variance heterogeneity.

Lida Mavrogonatou, Yuxuan Sun, David S. Robertson, Sofia S. Villar

Comput. Stat. Data Anal., 2022

Some performance considerations when using multi-armed bandit algorithms in the presence of missing data.

Xijin Chen, Kim May Lee, Sofia S. Villar, David S. Robertson

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

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

Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints.

Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar

Proceedings of the 37th International Conference on Machine Learning, 2020

2017

A Bayesian adaptive design for clinical trials in rare diseases.

S. Faye Williamson, Peter Jacko, Sofia S. Villar, Thomas Jaki

Comput. Stat. Data Anal., 2017

2012

Opportunistic schedulers for optimal scheduling of flows in wireless systems with ARQ feedback.

Peter Jacko, Sofia S. Villar

Proceedings of the 24th International Teletraffic Congress, 2012

2011

Sensor scheduling for hunting elusive hiding targets via whittle's restless bandit index policy.

José Niño-Mora, Sofia S. Villar

Proceedings of the 5th International Conference on NETwork Games, COntrol and OPtimization, 2011

2009

Multitarget tracking via restless bandit marginal productivity indices and Kalman filter in discrete time.

José Niño-Mora, Sofia S. Villar

Proceedings of the 48th IEEE Conference on Decision and Control, 2009