7 citations · 8 across the 3 of their papers we have counts for
3 papers
stat.ML2019
Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity Networks
Kean Ming Tan, Junwei Lu, Tong Zhang +1
Neuroscientists have enjoyed much success in understanding brain functions by constructing brain connectivity networks using data collected under highly controlled experimental set…
stat.ML2017★ 7 cited
Graphical Nonconvex Optimization for Optimal Estimation in Gaussian Graphical Models
Qiang Sun, Kean Ming Tan, Han Liu +1
We consider the problem of learning high-dimensional Gaussian graphical models. The graphical lasso is one of the most popular methods for estimating Gaussian graphical models. How…
math.ST2015★ 1 cited
Laplace Approximation in High-dimensional Bayesian Regression
Rina Foygel Barber, Mathias Drton, Kean Ming Tan
We consider Bayesian variable selection in sparse high-dimensional regression, where the number of covariates may be large relative to the samples size , but at most a moder…