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A General Metric for Riemannian Manifold Hamiltonian Monte Carlo

机译:黎曼流形哈密顿量蒙特卡洛的一般度量

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Markov Chain Monte Carlo (MCMC) is an invaluable means of inference with complicated models, and Hamiltonian Monte Carlo, in particular Riemannian Manifold Hamiltonian Monte Carlo (RMHMC), has demonstrated success in many challenging problems. Current RMHMC implementations, however, rely on a Riemannian metric that limits their application. In this paper I propose a new metric for RMHMC without these limitations and verify its success on a distribution that emulates many hierarchical and latent models.
机译:马尔可夫链蒙特卡洛(MCMC)是使用复杂模型进行推理的一种宝贵手段,汉密尔顿蒙特卡洛,尤其是黎曼流形汉密尔顿蒙特卡洛(RMHMC)在许多挑战性问题上都取得了成功。但是,当前的RMHMC实现依赖于限制其应用的黎曼度量。在本文中,我提出了一种不受这些限制的RMHMC新指标,并在模拟许多分层模型和潜在模型的分布上验证了其成功性。

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