Haoxiang Wang

According to our database, Haoxiang Wang authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

2024

Enhancing Compositional Generalization via Compositional Feature Alignment.

Haoxiang Wang, Haozhe Si, Huajie Shao, Han Zhao

Trans. Mach. Learn. Res., 2024

RLHF Workflow: From Reward Modeling to Online RLHF.

Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang

CoRR, 2024

Mitigating the Alignment Tax of RLHF.

Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Semi-Supervised Reward Modeling via Iterative Self-Training.

Yifei He, Haoxiang Wang, Ziyan Jiang, Alexandros Papangelis, Han Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts.

Haoxiang Wang, Wei Xiong, Tengyang Xie, Han Zhao, Tong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards.

Haoxiang Wang, Yong Lin, Wei Xiong, Rui Yang, Shizhe Diao, Shuang Qiu, Han Zhao, Tong Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms.

Haoxiang Wang, Gargi Balasubramaniam, Haozhe Si, Bo Li, Han Zhao

CoRR, 2023

Gradual Domain Adaptation: Theory and Algorithms.

Yifei He, Haoxiang Wang, Bo Li, Han Zhao

CoRR, 2023

Mitigating the Alignment Tax of RLHF.

Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Yuan Yao, Tong Zhang

CoRR, 2023

2022

Predicting Properties of Quantum Systems with Conditional Generative Models.

Haoxiang Wang, Maurice Weber, Josh Izaac, Cedric Yen-Yu Lin

CoRR, 2022

Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems.

Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Provable Domain Generalization via Invariant-Feature Subspace Recovery.

Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao

Proceedings of the International Conference on Machine Learning, 2022

Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond.

Haoxiang Wang, Bo Li, Han Zhao

Proceedings of the International Conference on Machine Learning, 2022

Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning.

Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation.

Haoxiang Wang, Han Zhao, Bo Li

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets.

Haoxiang Wang, Ruoyu Sun, Bo Li

CoRR, 2020