Haoxin Liu

Haoxin Liu

Ph.D. student in Computer Science at Georgia Tech focusing on time-series forecasting, graph learning, and large language models.

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning

Published in ICML 2024, 2024

Recommended citation: Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, and B. Aditya Prakash. "Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning." International Conference on Machine Learning 2024.

Haoxin Liu and collaborators design invariant learning principles that improve the out-of-distribution robustness of time-series forecasting models (acceptance rate 27.5%).