Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience. - Tejumade Afonja; Konstantin Klemmer; Aya Salama 001; Paula Rodriguez Diaz; Niveditha Kalavakonda; Oluwafemi Azeez (CoRR, 2021)

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, 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; Aparna Hegde; Neha Madhiwalla; Paula Rodriguez Diaz; Sonja Johnson-Yu; Milind Tambe (AAAI, 2023)

Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks. - Arpita Biswas; Jackson A. Killian; Paula Rodriguez Diaz; Susobhan Ghosh; Milind Tambe (AAMAS, 2023)

Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges. - Paula Rodriguez Diaz; Tejumade Afonja; Konstantin Klemmer; Aya Salama 001; Niveditha Kalavakonda; Oluwafemi Azeez; Simone Fobi (CoRR, 2023)

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; Aparna Hegde; Milind Tambe; Aparna Taneja (AAAI, 2024)

Leveraging AI to improve health information access in the World's largest maternal mobile health program. - Shresth Verma; Arshika Lalan; Paula Rodriguez Diaz; Panayiotis Danassis; Amrita Mahale; Kumar Madhu Sudan; Aparna Hegde; Milind Tambe; Aparna Taneja (AI Mag., 2024)

Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach. - Niclas Boehmer; Yunfan Zhao; Guojun Xiong; Paula Rodriguez Diaz; Paola Del Cueto Cibrian; Joseph Ngonzi; Adeline Boatin; Milind Tambe (AAAI, 2025)

What is the Right Notion of Distance between Predict-then-Optimize Tasks? - Paula Rodriguez Diaz; Lingkai Kong; Kai Wang 040; David Alvarez-Melis; Milind Tambe (UAI, 2025)