Jeong, Minchan

9 publications

NeurIPS 2025 DPAIL: Training Diffusion Policy for Adversarial Imitation Learning Without Policy Optimization Yunseon Choi, Minchan Jeong, Soobin Um, Kee-Eung Kim

NeurIPS 2025 Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems Minchan Jeong, Jongha Jon Ryu, Se-Young Yun, Gregory W. Wornell

TMLR 2025 FedDr+: Stabilizing Dot-Regression with Global Feature Distillation for Federated Learning Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun

ICLRW 2025 When Debate Fails: Bias Reinforcement in Large Language Models Jihwan Oh, Minchan Jeong, Jongwoo Ko, Se-Young Yun

CVPR 2024 FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun

AISTATS 2023 Contextual Linear Bandits Under Noisy Features: Towards Bayesian Oracles Jung-Hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin, Richard Combes

NeurIPSW 2023 FedSoL: Bridging Global Alignment and Local Generality in Federated Learning Gihun Lee, Minchan Jeong, SangMook Kim, Jaehoon Oh, Se-Young Yun

NeurIPS 2022 Preservation of the Global Knowledge by Not-True Distillation in Federated Learning Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun

NeurIPS 2022 Robust Streaming PCA Daniel Bienstock, Minchan Jeong, Apurv Shukla, Se-Young Yun