5 papers
Beyond the PPAD hardness of Auto-bidding Auctions
Li Chen, Jamie Morgenstern, Yuanyuan Yang
Computing certain autobidding equilibria is PPAD complete in the worst case. Yet such instances rarely arise in practice, where advertisers running simple, decentralized learning s…
T-TAMER: Provably Taming Trade-offs in ML Serving
Yuanyuan Yang, Ruimin Zhang, Jamie Morgenstern +1
As machine learning models continue to grow in size and complexity, efficient serving faces increasingly broad trade-offs spanning accuracy, latency, resource usage, and other obje…
Validating the Effectiveness of a Large Language Model-based Approach for Identifying Children's Development across Various Free Play Settings in Kindergarten
Yuanyuan Yang, Yuan Shen, Tianchen Sun +1
Free play is a fundamental aspect of early childhood education, supporting children's cognitive, social, emotional, and motor development. However, assessing children's development…
Markovian Pandora's box
Yuanyuan Yang, Ruimin Zhang, Jamie Morgenstern +1
In this paper, we study the Markovian Pandora's Box Problem, where decisions are governed by both order constraints and Markovianly correlated rewards, structured within a shared d…
Multi-Stage Graph Learning for fMRI Analysis to Diagnose Neuro-Developmental Disorders
Wenjing Gao, Yuanyuan Yang, Jianrui Wei +2
The insufficient supervision limit the performance of the deep supervised models for brain disease diagnosis. It is important to develop a learning framework that can capture more…