77 citations · 198 across the 22 of their papers we have counts for
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stat.ML2020★ 1 cited
Dimension Independent Generalization Error by Stochastic Gradient Descent
Xi Chen, Qiang Liu, Xin T. Tong
One classical canon of statistics is that large models are prone to overfitting, and model selection procedures are necessary for high dimensional data. However, many overparameter…
stat.ML2019★ 9 cited
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics
Xi Chen, Simon S. Du, Xin T. Tong
Stochastic gradient Langevin dynamics (SGLD) is a fundamental algorithm in stochastic optimization. Recent work by Zhang et al. [2017] presents an analysis for the hitting time of…
stat.ML2016★ 30 cited
Statistical Inference for Model Parameters in Stochastic Gradient Descent
Xi Chen, Jason D. Lee, Xin T. Tong +1
The stochastic gradient descent (SGD) algorithm has been widely used in statistical estimation for large-scale data due to its computational and memory efficiency. While most exist…