project

(Statistically/Theoretically) Principled Approaches to LLM Reasoning
(tbd)
Junghyun Lee
Collaborative Multi-Agent Bandits
specific topics tbd
Junghyun Lee
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
Least Disagreement-based Active Learning
A new disagreement-based approach to active classification and regression.
Junghyun Lee
Statistical Learning in Structured Markov Chains and MDPs
Project #1. Clustered State Space Nearly Optimal Latent State Decoding in Block MDPs Accepted to AISTATS 2023 Joint work with Se-Young Yun (KAIST AI) and Yassir Jedra, Alexandre Proutière (KTH EECS).
Junghyun Lee
Statistical Problems Related to (LLM) Alignment and Preference Learning
(tbd)
Junghyun Lee