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 Prof. Se-Young Yun and Prof. Chulhee Yun. Interested in mathematical and theoretical AI, i.e., essentially any machine learning challenges necessitating mathematical analysis. Recently focused on statistical problems arising from RLHF, including interactive machine learning and low-dimensional structure recovery.