Paula Rodriguez Diaz

According to our database, Paula Rodriguez Diaz authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

What is the Right Notion of Distance between Predict-then-Optimize Tasks?

Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe

CoRR, 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, Aparna Hegde, Milind Tambe, Aparna Taneja

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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, Niveditha Kalavakonda, Oluwafemi Azeez, Simone Fobi

CoRR, 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

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience.

Tejumade Afonja, Konstantin Klemmer, Aya Salama, Paula Rodriguez Diaz, Niveditha Kalavakonda, Oluwafemi Azeez

CoRR, 2021