Fast sampling via spectral independence beyond bounded-degree graphs
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...
| Автори: | , , , |
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| Формат: | Conference item |
| Мова: | English |
| Опубліковано: |
Leibniz International Proceedings in Informatics
2022
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