Fast sampling via spectral independence beyond bounded-degree graphs

Fast sampling via spectral independence beyond bounded-degree graphs

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Spectral independence is a recently-developed framework for obtaining sharp bounds on the convergence time of the classical Glauber dynamics. This new framework has yielded optimal O(n log n) sampling algorithms on bounded-degree graphs for a large class of problems throughout the so-called uniquene...

書誌詳細
主要な著者:	Bezakova, I, Galanis, A, Goldberg, L, Stefankovic, D
フォーマット:	Conference item
言語:	English
出版事項:	Leibniz International Proceedings in Informatics 2022

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