PhD student, Korteweg-de Vries Institute
2 papers at NeurIPS 2025
Recourse algorithms can induce a distribution shift that makes their own recommendations invalid.
We describe a framework that provides theoretical guarantees on the correctness of learning concepts from data and on the number of required labels.