Bayesian Sampling Using Stochastic Gradient Thermostats

NeurIPS 2014 Nan DingYouhan FangRyan BabbushChangyou ChenRobert D. SkeelHartmut Neven

Dynamics-based sampling methods, such as Hybrid Monte Carlo (HMC) and Langevin dynamics (LD), are commonly used to sample target distributions. Recently, such approaches have been combined with stochastic gradient techniques to increase sampling efficiency when dealing with large datasets... (read more)

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