NeurIPS 2025
Paper with Ph.D. student Dongwon Kim and group alum Sungdong Lee, “Partial Correlation Network Estimation by Semismooth Newton Methods” is accepted to the 20...
Paper with Ph.D. student Dongwon Kim and group alum Sungdong Lee, “Partial Correlation Network Estimation by Semismooth Newton Methods” is accepted to the 20...
Paper with former Ph.D. student Sungdong Lee, “Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD” is accepte...
M1399.000200 Advanced Statistical Computing 326.212 Statistical Computing and Labs
I am taking a sabbatical leave for one year. I will be visiting the UCLA Biostatistics Department.
Paper with Ph.D. students Hyunjong Lee and Yedarm Seong, and former Ph.D. student Sungdong Lee, “StrWAEs to Invariant Representations” is accepted to the 202...
M1399.001000 Introduction to Data Science
Paper with graduate students Mincheol Cho and Hyunjong Lee, “$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student’s t and Power Divergence...
M1399.000200 Advanced Statistical Computing M1399.000400 Deep Learning: Statistical Perspectives
326.211 Probability Concepts and Applications M1399.000100 Computational Statistics
M1399.000400 Deep Learning: Statistical Perspectives
Paper with former masters student Yoonhyung Lee and current Ph.D. student Sungdong Lee, “Statistical inference with implicit SGD: proximal Robbins-Monro vs. ...
326.211 Probability Concepts and Applications M1399.000100 Computational Statistics
326.212 Statistical Computing M1399.000200 Advanced Statistical Computing
Paper with former Ph.D. student Seyoon Ko, “High-Performance Statistical Computing in the Computing Environments of the 2020s” is accepted to Statistical Sci...
Paper with former and current Ph.D. students Youngwon Choi and Sungdong Lee, “Learning from Nested Data with Ornstein Auto-Encoders” is accepted to the 2021 ...
326.211 Probability Concepts and Applications M1399.000100 Computational Statistics