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, i.e., essentially any machine learning challenges necessitating mathematical analysis. Recently focused on statistical problems arising from RLHF, including interactive machine learning and low-dimensional structure recovery.
