Haoxiang Wang

According to our database, Haoxiang Wang authored at least 11 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

CoRR, 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

Speciality vs Generality: An Empirical Study on Catastrophic Forgetting in Fine-tuning Foundation Models.

Yong Lin, Lu Tan, Hangyu Lin, Zeming Zheng, Renjie Pi, Jipeng Zhang, Shizhe Diao, Haoxiang Wang, Han Zhao, 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