Fair Dimensionality Reduction
Project #2. TBD
In progress. Joint work with Hanseul Cho (KAIST AI), Gwangsu Kim (JBNU Statistics), Chang D. Yoo (KAIST EE), Se-Young Yun, and Chulhee Yun (KAIST AI).
Project #2. Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Accepted to NeurIPS 2023. Joint work with Hanseul Cho, Se-Young Yun, and Chulhee Yun (KAIST AI).
Project #1. Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold
Accepted to AAAI 2022. Joint work with Gwangsu Kim, Chang D. Yoo (KAIST EE), Matt Olfat (UC Berkeley IEOR), and Mark Hasegawa-Johnson (UIUC ECE).
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, where I am interested in explaining the recent success of machine/deep learning algorithms and designing mathematically well-grounded algorithms for various scenarios.
