AI RESEARCH
Stochastic Control Methods for Optimization
arXiv CS.LG
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ArXi:2601.01248v4 Announce Type: replace-cross In this work, we investigate a stochastic control framework for global optimization over both Euclidean spaces and the Wasserstein space of probability measures, where the objective function may be non-convex and/or non-differentiable.