Hui Yuan

According to our database, Hui Yuan authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations.

Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

CoRR, February, 2025

A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement.

Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Adversarial Attacks on Online Learning to Rank with Stochastic Click Models.

Zichen Wang, Rishab Balasubramanian, Hui Yuan, Chenyu Song, Mengdi Wang, Huazheng Wang

Trans. Mach. Learn. Res., 2024

Diffusion Model for Data-Driven Black-Box Optimization.

Zihao Li, Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Yinyu Ye, Minshuo Chen, Mengdi Wang

CoRR, 2024

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

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

CoRR, 2024

Gradient Guidance for Diffusion Models: An Optimization Perspective.

Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Conversational Dueling Bandits in Generalized Linear Models.

Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MaxMin-RLHF: Alignment with Diverse Human Preferences.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization.

Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

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

Yingyu Liang, Hui Yuan

Proceedings of the Conference on Learning Theory, 2020

Learning Entangled Single-Sample Distributions via Iterative Trimming.

Hui Yuan, Yingyu Liang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020