Junghyun Lee
Junghyun Lee
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Korean AI Theory Community Workshop
SNU-KAIST ML/AI Theory Workshop
Machine/Deep Learning Theory + Physics Seminar
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project
Collaborative Multi-Agent Bandits
specific topics tbd
Junghyun Lee
Deep Learning Theory - Optimization
specific topics tbd
Junghyun Lee
Disagreement-based Active Learning
Developed least disagree metric (LDM), a new disagreement-based uncertainty measure, and an LDM-based active learning algorithm with state-of-the-art performance guarantee.
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
Sample Complexity of Learning in Structured Markov Chains and MDPs
(tbd)
Junghyun Lee
Theoretical Analyses of Reinforcement Learning with Human Feedback (RLHF) and Related Problems
(tbd)
Junghyun Lee
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