arXiv (OAI Expanded)
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Dual-guided Hierarchical Edge Localization for Large-scale Optimal Transport Across Dimensions
Optimal transport (OT) compares distributions and aligns datasets in machine learning, yet unregularized discrete OT requires a linear program with quadratically many transport variables. We propose HELLO, a hierarchical solver that casts large-scale discrete OT as edge localization and uses dual po
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