A new algorithm accelerates kernel-based optimal transport estimation, replacing slow interior-point solvers. The semismooth Newton method cuts iteration counts dramatically, making high-dimensional OT estimators computationally practical. This matters for ML developers using OT for distribution comparison, generative modeling, or domain adaptation.
Opening Kapyn…