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Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference
Authors:Li  Zhize  Zhang  Tianyi  Cheng  Shuyu  Zhu  Jun  Li  Jian
Affiliation:1.Tsinghua University, Beijing, 100084, China
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Abstract:Machine Learning - Gradient-based Monte Carlo sampling algorithms, like Langevin dynamics and Hamiltonian Monte Carlo, are important methods for Bayesian inference. In large-scale settings,...
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