Lee, Jaewoo

11 publications

ICLR 2026 Diffusion Alignment as Variational Expectation-Maximization Jaewoo Lee, Minsu Kim, Sanghyeok Choi, Inhyuck Song, Sujin Yun, Hyeongyu Kang, Woocheol Shin, Taeyoung Yun, Kiyoung Om, Jinkyoo Park

ICLR 2026 Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function Hyeongyu Kang, Jaewoo Lee, Woocheol Shin, Kiyoung Om, Jinkyoo Park

NeurIPS 2025 Harmony in Divergence: Towards Fast, Accurate, and Memory-Efficient Zeroth-Order LLM Fine-Tuning Qitao Tan, Jun Liu, Zheng Zhan, Caiwen Ding, Yanzhi Wang, Xiaolong Ma, Jaewoo Lee, Jin Lu, Geng Yuan

ICML 2025 Posterior Inference with Diffusion Models for High-Dimensional Black-Box Optimization Taeyoung Yun, Kiyoung Om, Jaewoo Lee, Sujin Yun, Jinkyoo Park

ICLRW 2025 Posterior Inference with Diffusion Models for High-Dimensional Black-Box Optimization Taeyoung Yun, Kiyoung Om, Jaewoo Lee, Sujin Yun, Jinkyoo Park

NeurIPS 2024 GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning Jaewoo Lee, Sujin Yun, Taeyoung Yun, Jinkyoo Park

NeurIPS 2024 Guided Trajectory Generation with Diffusion Models for Offline Model-Based Optimization Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park

ICML 2024 STELLA: Continual Audio-Video Pre-Training with SpatioTemporal Localized Alignment Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang

AAAI 2022 Differentially Private Normalizing Flows for Synthetic Tabular Data Generation Jaewoo Lee, Minjung Kim, Yonghyun Jeong, Youngmin Ro

AAAI 2022 Wasserstein Adversarial Transformer for Cloud Workload Prediction Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim

AISTATS 2019 Renyi Differentially Private ERM for Smooth Objectives Chen Chen, Jaewoo Lee, Dan Kifer