24 citations · 61 across the 6 of their papers we have counts for
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stat.ML2018
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling
Changyou Chen, Ruiyi Zhang, Wenlin Wang +2
There has been recent interest in developing scalable Bayesian sampling methods such as stochastic gradient MCMC (SG-MCMC) and Stein variational gradient descent (SVGD) for big-dat…
stat.ML2017★ 2 cited
On Connecting Stochastic Gradient MCMC and Differential Privacy
Bai Li, Changyou Chen, Hao Liu +1
Significant success has been realized recently on applying machine learning to real-world applications. There have also been corresponding concerns on the privacy of training data,…