Arash A. Amini
Arash A. Amini
Assistant Professor of Statistics, UCLA
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Zitiert von
Zitiert von
Pseudo-likelihood methods for community detection in large sparse networks
AA Amini, A Chen, PJ Bickel, E Levina
The Annals of Statistics 41 (4), 2097-2122, 2013
High-dimensional analysis of semidefinite relaxations for sparse principal components
AA Amini, MJ Wainwright
2008 IEEE international symposium on information theory, 2454-2458, 2008
On semidefinite relaxations for the block model
AA Amini, E Levina
The Annals of Statistics 46 (1), 149-179, 2018
Variable importance using decision trees
J Kazemitabar, A Amini, A Bloniarz, AS Talwalkar
Advances in neural information processing systems 30, 2017
Analysis of spectral clustering algorithms for community detection: the general bipartite setting
Z Zhou, AA Amini
The Journal of Machine Learning Research 20 (1), 1774-1820, 2019
Optimal bipartite network clustering
Z Zhou, AA Amini
arXiv preprint arXiv:1803.06031, 2018
Fitting community models to large sparse networks
A Chen, AA Amini, E Levina, PJ Bickel
Ann. Stat. 41 (arXiv: 1207.2340), 2097-2122, 2012
Sampled forms of functional PCA in reproducing kernel Hilbert spaces
AA Amini, MJ Wainwright
The Annals of Statistics 40 (5), 2483-2510, 2012
Learning directed acyclic graphs with penalized neighbourhood regression
B Aragam, AA Amini, Q Zhou
arXiv preprint arXiv:1511.08963, 2015
Optimizing regularized cholesky score for order-based learning of bayesian networks
Q Ye, AA Amini, Q Zhou
IEEE transactions on pattern analysis and machine intelligence 43 (10), 3555 …, 2020
A fast method for sparse component analysis based on iterative detection-estimation
AA Amini, M Babaie-Zadeh, C Jutten
Bayesian Inference and Maximum Entropy Methods in Science and Engineering …, 2006
Matched bipartite block model with covariates
ZS Razaee, AA Amini, JJ Li
The Journal of Machine Learning Research 20 (1), 1174-1217, 2019
Concentration of kernel matrices with application to kernel spectral clustering
AA Amini, ZS Razaee
The Annals of Statistics 49 (1), 531-556, 2021
Sequential detection of multiple change points in networks: A graphical model approach
AA Amini, XL Nguyen
IEEE transactions on information theory 59 (9), 5824-5841, 2013
Hierarchical stochastic block model for community detection in multiplex networks
AA Amini, MS Paez, L Lin
arXiv preprint arXiv:1904.05330, 2019
Globally optimal score-based learning of directed acyclic graphs in high-dimensions
B Aragam, Q Zhou, AA Amini
Advances in Neural Information Processing Systems, 4452-4464, 2019
High-dimensional principal component analysis
AA Amini
University of California, Berkeley, 2011
Approximation properties of certain operator-induced norms on Hilbert spaces
AA Amini, MJ Wainwright
Journal of Approximation Theory 164 (2), 320-345, 2012
On perfectness in Gaussian graphical models
A Amini, B Aragam, Q Zhou
International Conference on Artificial Intelligence and Statistics, 7505-7517, 2022
Partial correlation graphs and the neighborhood lattice
AA Amini, B Aragam, Q Zhou
arXiv preprint arXiv:1711.00991, 2017
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