One paper accepted to JKAIA 2021 + selected as one of the best papers!
MMD-based Fair PCA via Manifold Optimization
One paper (MMD-based Fair PCA via Manifold Optimization) is accepted to JKAIA 2021! This is joint work with Gwangsu Kim and Chang D. Yoo (KAIST EE), Matt Olfat (UC Berkeley IEOR & Citadel), and Mark Hasegawa-Johnson (UIUC EE).
This is a short version of our preprint Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold.
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.