One invited paper and one poster accepted for presentation at the INFORMS APS 2023!
Our recent AISTATS paper, Nearly Optimal Latent State Decoding in Block MDPs, has been invited to be presented at the invited session “Stochastic learning in structured systems” at INFORMS APS 2023 (chair: Prof. Jaron Sanders). Also, our recent preprint, Communication-Efficient Collaborative Heterogeneous Bandits in Networks has been selected to be presented as a poster as well!
I’ll be attending in person. See you all at Nancy, France!
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.