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stat.ML2025
Implicit Bias of the JKO Scheme
Peter Halmos, Boris Hanin
Wasserstein gradient flow provides a general framework for minimizing an energy functional over the space of probability measures on a Riemannian manifold . Its canonica…
cs.LG2025
Hierarchical Refinement: Optimal Transport to Infinity and Beyond
Peter Halmos, Julian Gold, Xinhao Liu +1
Optimal transport (OT) has enjoyed great success in machine learning as a principled way to align datasets via a least-cost correspondence, driven in large part by the runtime effi…