ICML-On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients

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On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients

                         Difan Zou 1 Quanquan Gu 1

             Abstract               tions such as Bayesian inference, reinforcement learning,
                                and computer vision. In the past decades, many MCMC
    Hamiltonian Monte Carlo (HMC), built based on
                                algorithms, such as random walk Metropolis (Mengersen
    the Hamilton’s equation, has been witnessed great
        ...

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关键词：hamiltonian Monte Carlo Convergence Stochastic converge