A Simulated Annealing based Inexact Oracle for Wasserstein Loss Minimization
A Simulated Annealing based Inexact Oracle for Wasserstein Loss Minimization
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Ye, Jianbo , Wang, James Z and Li, Jia
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Learning under a Wasserstein loss, a.k.a. Wasserstein loss minimization (WLM), is an emerging research topic for gaining insights from a large set of structured objects. Despite being conceptually simple, WLM problems are computationally challenging because they involve minimizing over functions of quantities (i.e. Wasserstein distances) that thems...
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A Simulated Annealing based Inexact Oracle for Wasserstein Loss Minimization
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TN_cdi_proquest_journals_2076019332
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2076019332
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2331-8422
