Paula Rodriguez Diaz

16 papers A* 4A 2Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't).
CoRR
Nihal V. Nayak, Paula Rodriguez Diaz, Neha Hulkund, Sara Beery, David Alvarez-Melis
2026 J jnl
GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon.
CoRR
Arya Tschand, Chenyu Wang, Zishen Wan, Andrew Cheng, Ioana Cristescu, Kevin He, Howard Huang, Alexander Ingare, Akseli Kangaslahti, Sara Kangaslahti, Theo Lebryk, Hongjin Lin, Jeffrey Jian Ma, Alexandru Meterez, Clara Mohri, Depen Morwani, Sunny Qin, Roy Rinberg, Paula Rodriguez Diaz, Alyssa Mia Taliotis, Pernille Undrum Fathi, Rosie Zhao, Todd Zhou, Vijay Janapa Reddi
2025 J jnl
A Dual Perspective on Decision-Focused Learning: Scalable Training via Dual-Guided Surrogates.
CoRR
Paula Rodriguez Diaz, Kirk Bansak, Elisabeth Paulson
2025 A* conf
Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach.
AAAI
Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Del Cueto Cibrian, Joseph Ngonzi, Adeline Boatin, Milind Tambe
2025 A conf
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
UAI
Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe
2024 A* conf
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms.
AAAI
Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja
2024 J jnl
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms.
CoRR
Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja
2024 J jnl
Leveraging AI to improve health information access in the World's largest maternal mobile health program.
AI Mag.
Shresth Verma, Arshika Lalan, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja
2024 J jnl
Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach.
CoRR
Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Del Cueto Cibrian, Joseph Ngonzi, Adeline Boatin, Milind Tambe
2024 J jnl
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
CoRR
Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe
2023 A conf
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks.
AAMAS
Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe
2023 J jnl
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks.
CoRR
Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe
2023 A* conf
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation.
AAAI
Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe
2023 J jnl
Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges.
CoRR
Paula Rodriguez Diaz, Tejumade Afonja, Konstantin Klemmer, Aya Salama, Niveditha Kalavakonda, Oluwafemi Azeez, Simone Fobi
2023 A* conf
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program.
AAAI
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
2021 J jnl
Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience.
CoRR
Tejumade Afonja, Konstantin Klemmer, Aya Salama, Paula Rodriguez Diaz, Niveditha Kalavakonda, Oluwafemi Azeez