Two papers (A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits, Gradient Descent with Polyak’s Momentum Finds Flatter Minima via Large Catapults) are accepted to CKAIA 2024.
The first paper has been selected as one of the best papers!!
- The first paper is joint work with Se-Young Yun (KAIST AI) and Kwang-Sung Jun (Univ. of Arizona CS).
- The second paper is joint work with the wonderful undergradudate intern Prin Phunyaphibarn (KAIST Math, equal contributions), my advisor Chulhee Yun (KAIST AI), and collaborators Bohan Wang (USTC) and Huishuai Zhang (Peking University, previously at Microsoft Research Asia - Theory Centre).
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.