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arXiv Machine Learning By Yindong Chen, Yiwei Wang, Lulu Kang, Chun Liu

A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel

Read the original on arXiv Machine Learning →

arXiv:2111. 10722v4 Announce Type: replace-cross Abstract: We propose a novel deterministic sampling method, EVI-MMD, to approximate a target distribution $\rho^*$ by minimizing the kernel discrepancy, also known as the Maximum Mean Discrepancy (MMD).

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