Publications

Woosung Koh, Wonbeen Oh, Siyeol Kim, Suhin Shin, Hyeongjin Kim, Jaein Jang, Junghyun Lee, Se-Young Yun (2024). FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL. In arXiv:2410.15876, NeurIPS 2024 OWA Workshop.

Kunwoo Na, Junghyun Lee, Se-Young Yun (2024). On the Estimation of Linear Softmax Parametrized Markov Chains. In KCC 2024.

Cite Project Slides

Junghyun Lee, Se-Young Yun, Kwang-Sung Jun (2024). A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits. In NeurIPS 2024, ICML 2024 ARLET Workshop (Oral).

PDF Cite Code Project Poster Slides

Prin Phunyaphibarn, Junghyun Lee, Bohan Wang, Huishuai Zhang, Chulhee Yun (2024). Gradient Descent with Polyak's Momentum Finds Flatter Minima via Large Catapults. In arXiv:2311.15051, ICML 2024 HiLD Workshop & NeurIPS 2023 M3L Workshop (Oral).

PDF Cite Project Poster Slides

Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo (2024). Querying Easily Flip-flopped Samples for Deep Active Learning. In ICLR 2024.

PDF Cite Project

Junghyun Lee, Se-Young Yun, Kwang-Sung Jun (2024). Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion. In AISTATS 2024.

PDF Cite Code Project Poster Slides

Junghyun Lee, Se-Young Yun (2024). Empirical Analyses of Corruption in the Clustering of Block MDPs. In KTCP 2024.

PDF Cite Project

Murad Aghazada, Mohammed Bennabbassi, Junghyun Lee, Se-Young Yun (2023). On the Estimation of Linear Softmax Parametrized Probability Distributions. In KSC 2023.

PDF Cite Slides

Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun (2023). Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint. In NeurIPS 2023.

PDF Cite Code Project Poster Slides

Junghyun Lee, Laura Schmid, Se-Young Yun (2023). Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks. In OPODIS 2023 (best student paper).

PDF Cite Code Project Poster Slides

Yassir Jedra, Junghyun Lee, Alexandre Proutière, Se-Young Yun (2023). Nearly Optimal Latent State Decoding in Block MDPs. In AISTATS 2023.

PDF Cite Code Project Poster Slides

Junghyun Lee, Se-Young Yun (2022). Preliminary Empirical Analyses of Clustering in Block MDPs. In KSC 2022.

PDF Cite Project Slides

Junghyun Lee, Minchan Jeong, Namgyu Ho, Se-Young Yun (2022). A Statistical Analysis of Stochastic Gradient Noises for GNNs. In KCC 2022.

PDF Cite Project Slides

Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo (2022). Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold. In AAAI 2022.

PDF Cite Code Project Poster Slides

Junghyun Lee, Chani Jung, Yoo Hwa Park, Dongmin lee, Juyeon Yoon, Shin Yoo (2021). Preliminary Evaluation of SWAY in Permutation Decision Space via a Novel Euclidean Embedding. In SSBSE 2021.

PDF Cite Code Slides

Junghyun Lee, Minyoung Hwang, Cheolwon Bae (2016). Some Loci in the Animation of a Sangaku Diagram. In Forum Geom. 2016.