2 papers
stat.ML2026
Contextual Graph Matching with Correlated Gaussian Features
Mohammad Hassan Ahmad Yarandi, Luca Ganassali
We investigate contextual graph matching in the Gaussian setting, where both edge weights and node features are correlated across two networks. We derive precise information-theore…
stat.ML2025
What is a good matching of probability measures? A counterfactual lens on transport maps
Lucas De Lara, Luca Ganassali
Coupling probability measures lies at the core of many problems in statistics and machine learning, from domain adaptation to transfer learning and causal inference. Yet, even when…