PhD student, Technion - Israel Institute of Technology, Technion
2 papers at NeurIPS 2025
We introduce TabSTAR: A Tabular Foundation Model with Semantically Target-Aware Representations, which achieves state-of-the-art results in tabular datasets with textual fields.
We study fair classification when multiple classifiers compete, and show that even if individual classifiers are fair the outcome may not be.
