Taedong Yun — accepted AI-conference papers

2025

Sleepless Nights, Sugary Days: Creating Synthetic Users with Health Conditions for Realistic Coaching Agent Interactions

Taedong Yun, Eric Yang, Mustafa Safdari, Jong Ha Lee, Vaishnavi Vinod Kumar, S. Sara Mahdavi +10

ACL 2025finding

We present an end-to-end framework for generating synthetic users for evaluating interactive agents designed to encourage positive behavior changes, such as in health and lifestyle coaching. The synthetic users are grounded in health and lifestyle conditions, specifically sleep and diabetes manageme…

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2021

SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression

Steve Yadlowsky, Taedong Yun, Cory Y McLean, Alexander D'Amour

NeurIPS 2021spotlight

Logistic regression remains one of the most widely used tools in applied statistics, machine learning and data science. However, in moderately high-dimensional problems, where the number of features $d$ is a non-negligible fraction of the sample size $n$, the logistic regression maximum likelihood e…

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