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1 paper

math.OC2025

Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points

Naoya Yamamoto, Juno Kim, Taiji Suzuki

Wasserstein gradient flow (WGF) is a common method to perform optimization over the space of probability measures. While WGF is guaranteed to converge to a first-order stationary p…