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 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.