activity
20162025
most citedRevisiting Distributed Synchronous SGD

609 citations · 614 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ML2025

Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso

Jianmin Chen, Kun Chen

The generalized lasso is a natural generalization of the celebrated lasso approach to handle structural regularization problems. Many important methods and applications fall into t…

cs.LG2022

Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data

Jianmin Chen, Robert H. Aseltine, Fei Wang +1

Statistical learning with a large number of rare binary features is commonly encountered in analyzing electronic health records (EHR) data, especially in the modeling of disease on…

stat.AP2020★ 2 cited

Clustering US States by Time Series of COVID-19 New Case Counts with Non-negative Matrix Factorization

Jianmin Chen, Jun Yan, Panpan Zhang

The spreading pattern of COVID-19 differ a lot across the US states under different quarantine measures and reopening policies. We proposed to cluster the US states into distinct c…

cs.DC2017★ 609 cited

Revisiting Distributed Synchronous SGD

Xinghao Pan, Jianmin Chen, Rajat Monga +2

Distributed training of deep learning models on large-scale training data is typically conducted with asynchronous stochastic optimization to maximize the rate of updates, at the c…

cs.LG2016★ 3 cited

Revisiting Distributed Synchronous SGD

Jianmin Chen, Xinghao Pan, Rajat Monga +2

Distributed training of deep learning models on large-scale training data is typically conducted with asynchronous stochastic optimization to maximize the rate of updates, at the c…