260 citations · 879 across the 60 of their papers we have counts for
13 papers · 1 filter
Learning general conditional independence structures via the neighbourhood lattice
Arash A. Amini, Bryon Aragam, Qing Zhou
We study the problem of learning multivariate dependencies in nonparametric and high-dimensional settings. This includes but is not limited to graphical models. Our approach effect…
Adjusted chi-square test for degree-corrected block models
Linfan Zhang, Arash A. Amini
We propose a goodness-of-fit test for degree-corrected stochastic block models (DCSBM). The test is based on an adjusted chi-square statistic for measuring equality of means among…
On perfectness in Gaussian graphical models
Arash A. Amini, Bryon Aragam, Qing Zhou
Knowing when a graphical model is perfect to a distribution is essential in order to relate separation in the graph to conditional independence in the distribution, and this is par…
On the support recovery of marginal regression
S. Jalil Kazemitabar, Arash A. Amini, Ameet Talwalkar
Leading methods for support recovery in high-dimensional regression, such as Lasso, have been well-studied and their limitations in the context of correlated design have been chara…
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini +2
We consider the problem of estimating the parameters of a multivariate Bernoulli process with auto-regressive feedback in the high-dimensional setting where the number of samples a…
Eigenvectors of Deformed Wigner Random Matrices
Farzan Haddadi, Arash Amini
We investigate eigenvectors of rank-one deformations of random matrices in which is…