6 papers
Efficient Ensemble Selection from Binary and Pairwise Feedback
Tzeh Yuan Neoh, Nicholas Teh, Je Qin Chooi +2
Organizations increasingly deploy multiple AI systems across task domains, but selecting a small, high-performing ensemble can require costly model calls, benchmark runs, and human…
Embeddings for Preferences, Not Semantics
Carter Blair, Ariel D. Procaccia, Milind Tambe
Modern AI is opening the door to collective decision-making in which participants express their views as free-form text rather than voting on a fixed set of candidates. A natural i…
Adaptive Multi-Round Allocation with Stochastic Arrivals
Yuqi Pan, Davin Choo, Haichuan Wang +3
We study a sequential resource allocation problem motivated by adaptive network recruitment, in which a limited budget of identical resources must be allocated over multiple rounds…
Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget
Davin Choo, Yohai Trabelsi, Fentabil Getnet +6
As part of nationwide efforts aligned with the United Nations' Sustainable Development Goal 3 on Universal Health Coverage, Ethiopia's Ministry of Health is strengthening health po…
Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models
Roderick Seow, Yunfan Zhao, Duncan Wood +2
For public health programs with limited resources, the ability to predict how behaviors change over time and in response to interventions is crucial for deciding when and to whom i…
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi +3
Green Security Games (GSGs) have been successfully used in the protection of valuable resources such as fisheries, forests and wildlife. While real-world deployment involves both r…