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Free Energy Evaluation Using Marginalized Annealed Importance Sampling. (arXiv:2204.03784v2 [stat.ML] UPDATED)
Aug. 4, 2022, 1:11 a.m. | Muneki Yasuda, Chako Takahashi
cs.LG updates on arXiv.org arxiv.org
The evaluation of the free energy of a stochastic model is considered a
significant issue in various fields of physics and machine learning. However,
the exact free energy evaluation is computationally infeasible because the free
energy expression includes an intractable partition function. Annealed
importance sampling (AIS) is a type of importance sampling based on the Markov
chain Monte Carlo method that is similar to a simulated annealing and can
effectively approximate the free energy. This study proposes an AIS-based
approach, …
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