AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC

29 Feb 2020Ruqi ZhangA. Feder CooperChristopher De Sa

Stochastic gradient Hamiltonian Monte Carlo (SGHMC) is an efficient method for sampling from continuous distributions. It is a faster alternative to HMC: instead of using the whole dataset at each iteration, SGHMC uses only a subsample... (read more)

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