Jeongyeol Kwon
Inference and decision-making with missing or unobserved information.
Jeongyeol Kwon is from Seoul, South Korea. He used to play the piano, mostly the pieces of Chopin and Beethoven. Jeongyeol’s favorite food style once has been Japanese, and now turned into Mediterranean once he started studying aboard. He also likes playing computer and board games.
I am broadly interested in theoretical aspects of machine/statistical learning and optimization, with emphasis on fundamental questions well motivated by real applications. Specifically, I have been focused on theoretical questions arising from statistical inference of latent variable models, and reinforcement learning in partially observable systems. I believe in some nice connections between these two problems. I am also interested in other research topics such as robust statistics, multitask/meta learning, and stochastic approximation.