Nathan Weill

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 Master's degree in Applied Mathematics at Mines Paris-PSL, and my Master's degree in Artificial Intelligence from the MVA at Ecole Normale Supérieure Paris-Saclay. E-mail: nmw2142 [AT] columbia [DOT] edu CV    LinkedIn    Google Scholar

Research Interests

My research focuses on machine learning theory and transfer learning. Recently I have been working on unsupervised domain adaptation in non-parametric regression.

News

• Our paper “Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs” is posted on arXiv.

• Our paper “Pseudo-Label Validation for Unsupervised Domain Adaptation” was accepted at the ICML 2026 Hypothesis Testing workshop.