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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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

DOI retrieved: December 16, 2024

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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