Junghyun Lee
Junghyun Lee
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I've successfully defended my MSc thesis!
I’ve successfully defended my MSc thesis, titled Near-Optimal Clustering in Block Markov Decision Processes! Special thanks to the thesis committee: Se-Young Yun, Chulhee Yun, and Kee-Eung Kim (KAIST AI). Thesis as well as presentation file coming soon!
Junghyun Lee
Dec 15, 2022
1 min read
Project
I'm heading to Stockholm to attend the Nobel Prize Lectures!
As part of the program The Way to Stockholm, sponsored by the Korea Foundation of Advanced Studies (KFAS), I’ll be in Stockholm from 12/06 to 12/12 to attend the Nobel Prize Lectures, Nobel Prize Dialogue, and more!
Junghyun Lee
Dec 6, 2022
1 min read
One paper accepted to KSC 2022!
One paper (Preliminary Empirical Analyses of Clustering in Block MDPs) is accepted to KSC 2022! This is joint work with Se-Young Yun (KAIST AI). More details to come!
Junghyun Lee
Nov 21, 2022
1 min read
Project
Our preprint on theoretical analysis of block MDP now available on arXiv!
Our preprint Nearly Optimal Latent State Decoding in Block MDPs is now available on arXiv! (https://arxiv.org/pdf/2208.08480.pdf) This is joint work with Yassir Jedra and Alexandre Proutiere (KTH EECS), and Se-Young Yun (KAIST AI).
Junghyun Lee
Aug 19, 2022
1 min read
Project
I'll be serving as a reviewer for AAAI 2023!
I will be serving as a reviewer for AAAI 2023. This is my first time reviewing. Very excited..!
Junghyun Lee
Aug 3, 2022
1 min read
One paper accepted to CKAIA 2022 + selected as one of the best papers!
One paper (Near-Optimal Clustering in Block MDPs with Implications on Reward-Free RL) is accepted to CKAIA 2022! This is joint work with Yassir Jedra and Alexandre Proutiere (KTH DCS), and Se-Young Yun (KAIST AI).
Junghyun Lee
Jul 28, 2022
1 min read
Project
One paper accepted to KCC 2022!
One paper (A Statistical Analysis of Stochastic Gradient Noises for GNNs) is accepted to KCC 2022! This is joint work with Minchan Jeong, Namgyu Ho, and Se-Young Yun (KAIST AI).
Junghyun Lee
May 29, 2022
1 min read
One paper accepted to AAAI 2022!
One paper (Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold) is accepted to AAAI 2022! 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).
Junghyun Lee
Dec 1, 2021
1 min read
Project
One paper accepted to JKAIA 2021 + selected as one of the best papers!
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).
Junghyun Lee
Nov 1, 2021
1 min read
Project
One paper accepted to SSBSE 2021!
One paper (Preliminary Evaluation of SWAY in Permutation Decision Space via a Novel Euclidean Embedding) is accepted to SSBSE 2021! This is joint work with Chani Jung, Yoo Hwa Park, Dongmin Lee, Juyeon Yoon, and Shin Yoo (KAIST CS).
Junghyun Lee
Jul 11, 2021
1 min read
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