One paper accepted to NeurIPS 2024!
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
One paper (A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits) is accepted to NeurIPS 2024! This is joint work with my advisor Se-Young Yun (KAIST AI), and Kwang-Sung Jun (Univ. of Arizona CS).
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.