Junghyun Lee
Junghyun Lee
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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
Likelihood Loss-based Confidence Sequence
Aim to derive tight likelihood loss-based confidence sequence with time-uniform guarantees, with applications to sequential decision making and RL.
Junghyun Lee
Sample Complexity of Learning in Structured Markov Chains and MDPs
(tbd)
Junghyun Lee
Theoretical Analyses of Reinforcement Learning with Human Feedback (RLHF)
(tbd)
Junghyun Lee
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