Chulhee Yun

Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint

Proposes a framework for performing fair PCA in memory limited, streaming setting. Sample complexity results and empirical discussions show the superiority of our approach compared to the existing approaches.

Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun

Large Catapults in Momentum Gradient Descent with Warmup: An Empirical Study

Although gradient descent with momentum is widely used in modern deep learning, a concrete understanding of its effects on the training …

Prin Phunyaphibarn, Junghyun Lee, Bohan Wang, Huishuai Zhang, Chulhee Yun

Deep Learning Theory - Optimization

specific topics tbd

Junghyun Lee

Fair Dimensionality Reduction

Part of fair representation learning. Develop a theory of fairness in dimensionality reduction: new definition, new (efficient) algorithm, new theoretical results. Currently focused on PCA.

Junghyun Lee

Theoretical Analyses of Reinforcement Learning with Human Feedback (RLHF)

Junghyun Lee