Accelerating Unbalanced Optimal Transport Problem Using Dynamic Penalty Updating

With the increasing applications of Optimal Transport (OT) in the machine learning field, the Unbalanced Optimal Transport (UOT) problem, as a variant of the OT problem, has gained attention for its improved generality. There is an urgent need for fast algorithms that can efficiently handle large pe...

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Veröffentlicht in:	Proceedings of ... International Joint Conference on Neural Networks S. 1 - 6
Hauptverfasser:	Su, Xun, Kasai, Hiroyuki
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 30.06.2024
Schlagworte:	Accuracy Bregman Proximal Descent Brightness Degradation Heuristic algorithms Machine learning algorithms Majorization-Maximization Algorithm Mirror Descent Navigation Neural networks Optimal Transport Optimization Unbalanced Optimal Transport
ISSN:	2161-4407
Online-Zugang:	Volltext
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