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Comparison of Hamiltonian Monte Carlo Variants in Bayesian Deep Learning

Nemushungwa, Mufunwa
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bayesian deep learning, hamiltonian monte carlo, no-u-turn sampler, markov chain monte carlo, posterior density estimation, computational efficiency, scalability, bayesian neural networks
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