Cat Phuoc Le — accepted AI-conference papers

2025

CATE Estimation With Potential Outcome Imputation From Local Regression

Ahmed Aloui, Juncheng Dong, Cat Phuoc Le, Vahid Tarokh

UAI 2025

One of the most significant challenges in Conditional Average Treatment Effect (CATE) estimation is the statistical discrepancy between distinct treatment groups. To address this issue, we propose a model-agnostic data augmentation method for CATE estimation. First, we derive regret bounds for gener

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2022

Task Affinity with Maximum Bipartite Matching in Few-Shot Learning

Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani, Vahid Tarokh

ICLR 2022poster

We propose an asymmetric affinity score for representing the complexity of utilizing the knowledge of one task for learning another one. Our method is based on the maximum bipartite matching algorithm and utilizes the Fisher Information matrix. We provide theoretical analyses demonstrating that the…

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