Chengpiao Huang

I am a third-year PhD student in the Department of Industrial Engineering and Operations Research at Columbia University, advised by Professor Kaizheng Wang. Prior to joining Columbia, I received my Bachelor's degree in Mathematics and Applied Mathematics at The Chinese University of Hong Kong, Shenzhen. E-mail: chengpiao.huang [@] columbia [DOT] edu CV    Google Scholar

Research Interests

I am interested in statistical machine learning and online learning. Recently I have been working on learning under distribution shift.

News

• Our paper “Distribution-Free Predictive Inference under Unknown Temporal Drift” is posted on arXiv!

• Our paper “Model Assessment and Selection under Temporal Distribution Shift” is accepetd at ICML 2024.

• Our paper “Model Assessment and Selection under Temporal Distribution Shift” is posted on arXiv!

• Our paper “A Stability Principle for Learning under Non-Stationarity” is posted on arXiv!

• We (Kaizheng Wang, Yuhang Wu and I) won second place in the 2023 INFORMS Blue Summit Supplies Data Challenge! We also ranked first in the two-week live test of pricing and profit forecasting.