Sofia Villar — accepted AI-conference papers

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 +8

AAAI 2024technical

Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible mental health support. While these interventions can be effective, real-world experimental testing can further enhance their design and impact. Adaptive experimentatio…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗

2020

Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints

Cong Shen, Zhiyang Wang, Sofia Villar, Mihaela Van Der Schaar

ICML 2020poster

Phase I dose-finding trials are increasingly challenging as the relationship between efficacy and toxicity of new compounds (or combination of them) becomes more complex. Despite this, most commonly used methods in practice focus on identifying a Maximum Tolerated Dose (MTD) by learning only from to…

Cited by 22 Source ↗PDF ↗Scholar ↗