Assistant Professor, Carnegie Mellon University
3 papers at NeurIPS 2025
We provide a principled approach for incorporating fully synthetic samples in downstream statistical inference.
A novel approach to perform distributionally robust feature selection in a model-agnostic manner
Researchers and reviewers in AI for Social Impact should adopt broader but more rigorous standards for impact
