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Non-reversible parallel tempering for deep posterior approximation

The dataset used in the paper is a multi-modal distribution, and the authors propose a new method for parallel tempering with stochastic gradient Langevin dynamics.

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Cite this as

Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin (2024). Dataset: Non-reversible parallel tempering for deep posterior approximation. https://doi.org/10.57702/bdv4q82w

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2211.10837
Author	Wei Deng
More Authors	Qian Zhang Qi Feng Faming Liang Guang Lin