16 citations · 18 across the 2 of their papers we have counts for
2 papers
stat.CO2022★ 2 cited
Convergence Speed and Approximation Accuracy of Numerical MCMC
Tiangang Cui, Jing Dong, Ajay Jasra +1
When implementing Markov Chain Monte Carlo (MCMC) algorithms, perturbation caused by numerical errors is sometimes inevitable. This paper studies how perturbation of MCMC affects t…
stat.ML2020★ 16 cited
Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion
Yi Chen, Jinglin Chen, Jing Dong +2
Langevin diffusion is a powerful method for nonconvex optimization, which enables the escape from local minima by injecting noise into the gradient. In particular, the temperature…