11 papers
Approximate Proportionality in Online Fair Division
Davin Choo, Winston Fu, Derek Khu +3
We study the online fair division problem, where indivisible goods arrive sequentially and must be allocated immediately and irrevocably. Prior work establishes strong impossibilit…
Online Fair Division with Additional Information
Tzeh Yuan Neoh, Jannik Peters, Nicholas Teh
We study the problem of fairly allocating indivisible goods to agents in an online setting, where goods arrive sequentially and must be allocated irrevocably. Focusing on the popul…
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…
Online Allocation with Unknown Shared Supply
Tzeh Yuan Neoh, Davin Choo, Mengchu Yue +1
Many real-world resource allocation systems, such as humanitarian logistics and vaccine distribution, must preposition limited supply across multiple locations before demand is rea…
Incentive-Aware AI Safety via Strategic Resource Allocation: A Stackelberg Security Games Perspective
Cheol Woo Kim, Davin Choo, Tzeh Yuan Neoh +1
As AI systems grow more capable and autonomous, ensuring their safety and reliability requires not only model-level alignment but also strategic oversight of the humans and institu…
Neuro Symbolic Knowledge Reasoning for Procedural Video Question Answering
Basura Fernando, Thanh-Son Nguyen, Hong Yang +3
In this work we present Knowledge Module Learning (KML) to understand and reason over procedural tasks that requires models to learn structured and compositional procedural knowled…