Gradient Guidance for Diffusion Models: An Optimization Perspective

Yingqing Guo^*, Hui Yuan^*, Yukang Yang, Minshuo Chen, Mengdi Wang (* equal contribution)

Neurips 2024

paper / code (comming soon!)

MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences

Souradip Chakraborty, Jiahao Qiu,Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit Bedi, Mengdi Wang

ICML 2024

paper / code

Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement

Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang

Neurips 2023

paper / code

Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective

Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang

Neurips 2023

paper / code

Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization

Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang

Neurips 2022

paper

Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model

Yingyu Liang, Hui Yuan

COLT 2020

paper