most citedStochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 8 cited

Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error

Sinong Geng, Zhaobin Kuang, Jie Liu +2

We study the -regularized maximum likelihood estimator/estimation (MLE) problem for discrete Markov random fields (MRFs), where efficient and scalable learning requires both s…

stat.ME2012

Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies

Jie Liu, Chunming Zhang, Catherine McCarty +3

Large-scale multiple testing tasks often exhibit dependence, and leveraging the dependence between individual tests is still one challenging and important problem in statistics. Wi…