Postdoc, EPFL - EPF Lausanne
1 paper at NeurIPS 2025
We establish the theoretical limits of clustering under the Popularity-Adjusted Block Model and show that even without edge-density signals, cluster recovery is possible by leveraging differences in intra- and inter-cluster popularity parameters