Paula Rodriguez Diaz — accepted AI-conference papers

2024

Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms

Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan +3

AAAI 2024technical

Harnessing the wide-spread availability of cell phones, many nonprofits have launched mobile health (mHealth) programs to deliver information via voice or text to beneficiaries in underserved communities, with maternal and infant health being a key area of such mHealth programs. Unfortunately, dwind…

Cited by 1 Source ↗PDF ↗Scholar ↗

2023

Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation

Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe

AAAI 2023technical

Restless multi-armed bandits (RMABs) are an important model to optimize allocation of limited resources in sequential decision-making settings. Typical RMABs assume the budget --- the number of arms pulled --- to be fixed for each step in the planning horizon. However, for realistic real-world plann…

Cited by 8 Source ↗PDF ↗Scholar ↗

2023

Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program

Jackson A. Killian, Arpita Biswas, Lily Xu, Shresth Verma, Vineet Nair, Aparna Taneja +5

AAAI 2023technical

In 2020, maternal mortality in India was estimated to be as high as 130 deaths per 100K live births, nearly twice the UN's target. To improve health outcomes, the non-profit ARMMAN sends automated voice messages to expecting and new mothers across India. However, 38% of mothers stop listening to the…

Cited by 10 Source ↗PDF ↗Scholar ↗