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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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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