One paper accepted to ICML 2025 as a **Spotlight**!
GL-LowPopArt: A Nearly Instance-Wise Minimax Estimator for (Adaptive) Generalized Linear Low-Rank Trace Regression
One paper (GL-LowPopArt: A Nearly Instance-Wise Minimax Estimator for (Adaptive) Generalized Linear Low-Rank Trace Regression) is accepted to ICML 2025 as a spotlight poster!! This is joint work with Kyoungseok Jang (CAU AI), Kwang-Sung Jun (Univ. of Arizona CS), Milan Vojnović (LSE Statistics), and my advisor Se-Young Yun (KAIST AI).
I’ll be attending in person. See you all at Vancouver, Canada!
Junghyun Lee
PhD Student
PhD student at GSAI, KAIST, jointly advised by Profs. Se-Young Yun and Chulhee Yun. Research focuses on interactive machine learning, particularly at the intersection of RLHF and preference learning, and statistical analyses of large networks, with an emphasis on community detection. Broadly interested in mathematical and theoretical AI and related problems in mathematics.