33 citations · 41 across the 8 of their papers we have counts for
9 papers
Maximum-modulus points on concentric circles
Yunpeng Li
We give a negative answer to the second question of Erdős Problem #1117: can the number of maximum-modulus points of a nonzero, non-monomial entire function on ten…
TREK: Distill to Explore, Reinforce to Refine
Yuanda Xu, Zhengze Zhou, Kayhan Behdin +10
Group Relative Policy Optimization (GRPO) is effective when the current policy already samples useful reasoning trajectories, but it stalls on hard prompts whose correct solution m…
Large-Scale Regularized Matching on GPU Clusters
Aida Rahmattalabi, Gregory Dexter, Sanjana Garg +5
Production decision systems such as ad allocation or content matching involve millions of users and thousands of items, reducing to large-scale linear programs with sparse block-di…
DuaLip-GPU Technical Report
Gregory Dexter, Aida Rahmattalabi, Sanjana Garg +6
Large-scale linear programs (LPs) arise in many decision systems, including ranking, allocation, and matching problems that must be solved repeatedly at massive scale. Prior work s…
Promises and Challenges of Causality for Ethical Machine Learning
Aida Rahmattalabi, Alice Xiang
In recent years, there has been increasing interest in causal reasoning for designing fair decision-making systems due to its compatibility with legal frameworks, interpretability…
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery
Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud +1
We study the problem of learning, from observational data, fair and interpretable policies that effectively match heterogeneous individuals to scarce resources of different types.…
Exploring Algorithmic Fairness in Robust Graph Covering Problems
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti +4
Fueled by algorithmic advances, AI algorithms are increasingly being deployed in settings subject to unanticipated challenges with complex social effects. Motivated by real-world d…
Fair Influence Maximization: A Welfare Optimization Approach
Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju +5
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information…
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study)
Aida Rahmattalabi, Anamika Barman Adhikari, Phebe Vayanos +3
Substance use and abuse is a significant public health problem in the United States. Group-based intervention programs offer a promising means of preventing and reducing substance…