1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ML2020★ 1 cited
The Sylvester Graphical Lasso (SyGlasso)
Yu Wang, Byoungwook Jang, Alfred Hero
This paper introduces the Sylvester graphical lasso (SyGlasso) that captures multiway dependencies present in tensor-valued data. The model is based on the Sylvester equation that…
stat.ML2019
Precision Matrix Estimation with Noisy and Missing Data
Roger Fan, Byoungwook Jang, Yuekai Sun +1
Estimating conditional dependence graphs and precision matrices are some of the most common problems in modern statistics and machine learning. When data are fully observed, penali…
stat.ML2019
Minimum Volume Topic Modeling
Byoungwook Jang, Alfred Hero
We propose a new topic modeling procedure that takes advantage of the fact that the Latent Dirichlet Allocation (LDA) log likelihood function is asymptotically equivalent to the lo…