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Lee, Junghyun
13 publications
NeurIPS
2025
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
Woosung Koh
,
Wonbeen Oh
,
Jaein Jang
,
MinHyung Lee
,
Hyeongjin Kim
,
Ah Yeon Kim
,
Joonkee Kim
,
Junghyun Lee
,
Taehyeon Kim
,
Se-Young Yun
ICLR
2025
FlickerFusion: Intra-Trajectory Domain Generalizing Multi-Agent Reinforcement Learning
Woosung Koh
,
Wonbeen Oh
,
Siyeol Kim
,
Suhin Shin
,
Hyeongjin Kim
,
Jaein Jang
,
Junghyun Lee
,
Se-Young Yun
ICLRW
2025
Probability-Flow ODE in Infinite-Dimensional Function Spaces
Kunwoo Na
,
Junghyun Lee
,
Se-Young Yun
,
Sungbin Lim
ICMLW
2024
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
Junghyun Lee
,
Se-Young Yun
,
Kwang-Sung Jun
NeurIPSW
2024
FlickerFusion: Intra-Trajectory Domain Generalizing Multi-Agent RL
Woosung Koh
,
Wonbeen Oh
,
Siyeol Kim
,
Suhin Shin
,
Hyeongjin Kim
,
Jaein Jang
,
Junghyun Lee
,
Se-Young Yun
ICMLW
2024
Gradient Descent with Polyakâs Momentum Finds Flatter Minima via Large Catapults
Prin Phunyaphibarn
,
Junghyun Lee
,
Bohan Wang
,
Huishuai Zhang
,
Chulhee Yun
AISTATS
2024
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
Junghyun Lee
,
Se-Young Yun
,
Kwang-Sung Jun
ICLR
2024
Querying Easily Flip-Flopped Samples for Deep Active Learning
Seong Jin Cho
,
Gwangsu Kim
,
Junghyun Lee
,
Jinwoo Shin
,
Chang D. Yoo
NeurIPS
2023
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Junghyun Lee
,
Hanseul Cho
,
Se-Young Yun
,
Chulhee Yun
NeurIPSW
2023
Large Catapults in Momentum Gradient Descent with Warmup: An Empirical Study
Prin Phunyaphibarn
,
Junghyun Lee
,
Bohan Wang
,
Huishuai Zhang
,
Chulhee Yun
AISTATS
2023
Nearly Optimal Latent State Decoding in Block MDPs
Yassir Jedra
,
Junghyun Lee
,
Alexandre Proutiere
,
Se-Young Yun
AAAI
2022
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold
Junghyun Lee
,
Gwangsu Kim
,
Mahbod Olfat
,
Mark Hasegawa-Johnson
,
Chang D. Yoo
ICML
2022
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions
Eunsang Lee
,
Joon-Woo Lee
,
Junghyun Lee
,
Young-Sik Kim
,
Yongjune Kim
,
Jong-Seon No
,
Woosuk Choi