Learning to Match via Inverse Optimal Transport

Ruilin Li, Xiaojing Ye, Haomin Zhou +1

We propose a unified data-driven framework based on inverse optimal transport that can learn adaptive, nonlinear interaction cost function from noisy and incomplete empirical match…