30 citations · 66 across the 16 of their papers we have counts for
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Variational Hamiltonian Monte Carlo via Score Matching
Cheng Zhang, Babak Shahbaba, Hongkai Zhao
Traditionally, the field of computational Bayesian statistics has been divided into two main subfields: variational methods and Markov chain Monte Carlo (MCMC). In recent years, ho…
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases
Cheng Zhang, Babak Shahbaba, Hongkai Zhao
For big data analysis, high computational cost for Bayesian methods often limits their applications in practice. In recent years, there have been many attempts to improve computati…
Precomputing Strategy for Hamiltonian Monte Carlo Method Based on Regularity in Parameter Space
Cheng Zhang, Babak Shahbaba, Hongkai Zhao
Markov Chain Monte Carlo (MCMC) algorithms play an important role in statistical inference problems dealing with intractable probability distributions. Recently, many MCMC algorith…