| Pseudo-likelihood methods for community detection in large sparse networks AA Amini, A Chen, PJ Bickel, E Levina | 463 | 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 | 354 | 2008 |
| On semidefinite relaxations for the block model AA Amini, E Levina | 195 | 2018 |
| Variable importance using decision trees J Kazemitabar, A Amini, A Bloniarz, AS Talwalkar Advances in neural information processing systems 30, 2017 | 114 | 2017 |
| Analysis of spectral clustering algorithms for community detection: the general bipartite setting Z Zhou, AA Amini Journal of Machine Learning Research 20 (47), 1-47, 2019 | 98 | 2019 |
| Optimal bipartite network clustering Z Zhou, AA Amini arXiv preprint arXiv:1803.06031, 2018 | 41 | 2018 |
| 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 | 37 | 2020 |
| Sampled forms of functional PCA in reproducing kernel Hilbert spaces AA Amini, MJ Wainwright | 33 | 2012 |
| Learning directed acyclic graphs with penalized neighbourhood regression B Aragam, AA Amini, Q Zhou arXiv preprint arXiv:1511.08963, 2015 | 32 | 2015 |
| Fitting community models to large sparse networks A Chen, AA Amini, PJ Bickel, E Levina arXiv preprint arXiv:1207.2340, 2012 | 29 | 2012 |
| Matched bipartite block model with covariates ZS Razaee, AA Amini, JJ Li Journal of Machine Learning Research 20 (34), 1-44, 2019 | 23 | 2019 |
| Hierarchical stochastic block model for community detection in multiplex networks A Amini, M Paez, L Lin Bayesian Analysis 19 (1), 319-345, 2024 | 22 | 2024 |
| 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 | 21 | 2019 |
| 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 | 21 | 2006 |
| Concentration of kernel matrices with application to kernel spectral clustering AA Amini, ZS Razaee | 18 | 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 | 16 | 2013 |
| On the properties of the toxicity index and its statistical efficiency ZS Razaee, AA Amini, MA Diniz, M Tighiouart, G Yothers, A Rogatko Statistics in Medicine 40 (6), 1535-1552, 2021 | 13 | 2021 |
| Distributed learning of generalized linear causal networks Q Ye, AA Amini, Q Zhou arXiv preprint arXiv:2201.09194, 2022 | 7 | 2022 |
| Sparse Multivariate Bernoulli Processes in High Dimensions AK Pandit, Parthe and Sahraee-Ardakan, Mojtaba and Amini, Arash and Rangan ... The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 7* | 2019 |
| High-dimensional principal component analysis AA Amini University of California, Berkeley, 2011 | 7 | 2011 |
