2025
Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points
NeurIPS 2025poster
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 point, for nonconvex functionals the converged solution does not necessarily satisfy the second-order optimality conditio…