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20202023
most citedDecentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo

22 citations · 29 across the 6 of their papers we have counts for

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math.OC2020★ 4 cited

Non-Convex Optimization via Non-Reversible Stochastic Gradient Langevin Dynamics

Yuanhan Hu, Xiaoyu Wang, Xuefeng Gao +2

Stochastic Gradient Langevin Dynamics (SGLD) is a powerful algorithm for optimizing a non-convex objective, where a controlled and properly scaled Gaussian noise is added to the st…