Selected Talks
Adaptive variational Bayes: Optimality, computation and applications. The 6th IMS Asia Pacific Rim Meeting (IMS-APRM 2024). Melbourne, Australia. January 4-7, 2024. [Slides]
A selective overview of statistical theory for deep learning. Seminar of Department of Industrial Engineering, UNIST. April 12, 2023. [Slides]
Adaptive posterior concentration for Bayesian sparse factor models. Korean Statistical Society Summer Conference 2022. Seoul, Republic of Korea. June 23-25, 2022. [Slides]
Minimax optimal posterior contraction in finite mixture models. Seminar of Department of Statistics, Seoul National University. April 29, 2022. [Slides]
Adaptive variational Bayes: Optimality, computation and applications. RIKEN AIP Open Seminar. November 9, 2021. [Link] [Slides] [Video]
Fast learning with deep learning architectures for classification. The 2019 IMS-China International Conference on Statistics and Probability. Dalian, China. July 6-10, 2019. [Slides]
Generalizing uncertainty decomposition theory in climate change impact assessments. 2018 KSCC (the Korean society of climate change) International Conference. Jeju, Republic of Korea. June 18-20, 2018. [Slides]