Full Professor, University of Illinois at Urbana-Champaign
1 paper at NeurIPS 2025
We unify submodular/supermodular ratio problems and show general algorithms like SuperGreedy++ and min-norm point methods are surprisingly efficient and scalable, outperforming specialized methods in theory and practice