Our OPODIS 2023 paper has received best student paper award!!
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks
Our OPODIS 2023 paper (Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks) has received the best student paper award! Again, this is joint work with Laura Schmid and Se-Young Yun (KAIST AI).
Larua will be attending the conference in person. Catch her if you can at Tokyo!
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.