Neural Langevin Dynamical Sampling

IEEE ACCESS, pp. 31595-31605, 2020.

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Abstract:

Sampling technique is one of the asymptotically unbiased estimation approaches for inference in Bayesian probabilistic models. Markov chain Monte Carlo (MCMC) is a kind of sampling methods, which is widely used in the inference of complex probabilistic models. However, current MCMC methods can incur high autocorrelation of samples, which ...More

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