Associate Professor, University of Liverpool
1 paper at NeurIPS 2025
We introduce the Fair Minimum Labeling problem for designing temporally efficient and fair activation plans, prove tight hardness bounds, and present approximation algorithms with strong empirical results on fair multi-source learning.
