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Locally adaptive step sizes for Hamiltonian Monte Carlo methods

Tran, Jimmy Huy et al.
arXiv (All) · Papers
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computationmachine-learningmethodology
Exact reversible locally adaptive step sizes are introduced by Bou-Rabee et al. (2026) in the context of the No-U-Turn Hamiltonian Monte Carlo (HMC) sampler for the purpose of high performance HMC sampling in challenging target distributions. This paper carefully explains and illustrates the locally
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