Stochastic Gradient Hamiltonian Monte Carlo

17 Feb 2014Tianqi ChenEmily B. FoxCarlos Guestrin

Hamiltonian Monte Carlo (HMC) sampling methods provide a mechanism for defining distant proposals with high acceptance probabilities in a Metropolis-Hastings framework, enabling more efficient exploration of the state space than standard random-walk proposals. The popularity of such methods has grown significantly in recent years... (read more)

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