One paper accepted to AISTATS 2024!
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
One paper (Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion) is accepted to AISTATS 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 Valencia, Spain!
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.