publications

publicationss in reversed chronological order.

2022

  1. MNRAS
    Finding quadruply imaged quasars with machine learning. I. Methods
    Akhazhanov, A., More, A.,  Amini, A., Hazlett, C., Treu, T.,  and others.
    2022
  2. Preprint
    Distributed Learning of Generalized Linear Causal Networks
    Ye, Qiaoling,  Amini, Arash A., and Zhou, Qing
    Preprint 2022
  3. Preprint
    Bayesian community detection for networks with covariates
    Shen, Luyi,  Amini, Arash A., Paez, Marina S., and Lin, Lizhen
    Preprint 2022
  4. AISTATS
    On perfectness in Gaussian graphical models
    Amini, Arash A., Aragam, Bryon, and Zhou, Qing
    AISTATS 2022

2021

  1. EJS
    Spectrally-truncated kernel ridge regression and its free lunch
    Amini, Arash A.
    Electronic Journal of Statistics 2021
  2. AOS
    Concentration of kernel matrices with application to kernel spectral clustering
    Amini, Arash A., and Razaee, Zahra S.
    The Annals of Statistics 2021
  3. NeurIPS
    Label consistency in overfitted generalized k-means
    Zhang, Linfan, and Amini, Arash A.
    Neural Information Processing Systems (NeurIPS) 2021

2020

  1. NetSci-X
    Approximate Identification of the Optimal Epidemic Source in Complex Networks
    Kazemitabar, S. Jalil, and Amini, Arash A.
    In Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science 2020
  2. Preprint
    Adjusted chi-square test for degree-corrected block models
    Zhang, Linfan, and Amini, Arash A.
    Preprint 2020
  3. JMLR
    Optimal bipartite network clustering
    Zhou, Zhixin, and Amini, Arash A.
    Journal of Machine Learning Research 2020
  4. PAMI
    Optimizing regularized Cholesky score for order-based learning of Bayesian networks
    Ye, Qiaoling,  Amini, Arash A., and Zhou, Qing
    IEEE Transactions on Pattern Analysis and Machine Intelligence 2020
  5. NeurIPS
    The Potts-Ising model for discrete multivariate data
    Razaee, Zahra, and Amini, Arash A.
    Advances in Neural Information Processing Systems 2020
  6. JSAIT
    Generalized Autoregressive Linear Models for Discrete High-Dimensional Data
    Pandit, Parthe, Sahraee-Ardakan, Mojtaba,  Amini, Arash A., Rangan, Sundeep, and Fletcher, Alyson K.
    IEEE Journal on Selected Areas in Information Theory 2020
  7. Stat Med
    On the properties of the toxicity index and its statistical efficiency
    Razaee, Zahra S,  Amini, Arash A., Diniz, Márcio A, Tighiouart, Mourad, Yothers, Greg,  and others.
    Statistics in Medicine 2020

2019

  1. NeurIPS
    Globally optimal score-based learning of directed acyclic graphs in high-dimensions
    Aragam, Bryon,  Amini, Arash, and Zhou, Qing
    In Advances in Neural Information Processing Systems 2019
  2. JMLR
    Matched Bipartite Block Model with Covariates.
    Razaee, Zahra S,  Amini, Arash A., and Li, Jingyi Jessica
    Journal of Machine Learning Research 2019
  3. JMLR
    Analysis of spectral clustering algorithms for community detection: the general bipartite setting
    Zhou, Zhixin, and Amini, Arash A.
    Journal of Machine Learning Research 2019
  4. Preprint
    Performance Evaluation of Automotive Dealerships using Grouped Mixture of Regressions
    Almohri, Haidar, Chinnam, Ratna Babu, and Amini, Arash A.
    Preprint 2019
  5. AISTATS
    Sparse Multivariate Bernoulli Processes in High Dimensions
    Pandit, Parthe, Sahraee-Ardakan, Mojtaba,  Amini, Arash, Rangan, Sundeep, and Fletcher, Alyson K.
    In Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics 2019
  6. Tech Report
    Exact slice sampler for Hierarchical Dirichlet Processes
    Amini, Arash A., Paez, Marina, Lin, Lizhen, and Razaee, Zahra S.
    Technical Report 2019
  7. Preprint
    Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks
    Paez, Marina S.,  Amini, Arash A., and Lin, Lizhen
    Preprit 2019
  8. Tech Report
    On the support recovery of marginal regression
    Kazemitabar, S. Jalil,  Amini, Arash A., and Talwalkar, Ameet
    Technical Report 2019
  9. Preprint
    The neighborhood lattice for encoding partial correlations in a Hilbert space
    Amini, Arash A., Aragam, Bryon, and Zhou, Qing
    2019

2018

  1. AOS
    On semidefinite relaxations for the block model
    Amini, A. A., and Levina, E.
    The Annals of Statistics 2018

2017

  1. NeurIPS
    Variable Importance Using Decision Trees
    Kazemitabar, Jalil,  Amini, Arash A., Bloniarz, Adam, and Talwalkar, Ameet S
    In Advances in Neural Information Processing Systems 30 2017
  2. EJS
    Structured regression models for high-dimensional spatial spectroscopy data
    Amini, Arash A., Levina, Elizaveta, and Shedden, Kerby A.
    Electron. J. Statist. 2017
  3. Preprint
    Partial correlation graphs and the neighborhood lattice
    Amini, Arash A., Aragam, Bryon, and Zhou, Qing
    2017

2015

  1. Tech Report
    Identifiability of Gaussian DAGs in the equal-variance case: A linear-algebraic proof
    Amini, A. A.
    Technical Report 2015
  2. Preprint
    Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression
    Aragam, Bryon,  Amini, Arash A., and Zhou, Qing
    2015

2013

  1. Preprint
    Bayesian inference as iterated random functions with applications to sequential inference in graphical models
    Amini, A. A., and Nguyen, X.
    Preprint 2013
  2. NeurIPS
    Bayesian inference as iterated random functions with applications to sequential inference in graphical models
    Amini, A. A., and Nguyen, X.
    In Neural Information Processing Systems (NIPS) 2013
  3. AOS
    Pseudo-likelihood methods for community detection in large sparse networks
    Amini, A. A., Chen, A., Bickel, P. J., and Levina, E.
    The Annals of Statistics 2013
  4. ITIT
    Sequential Detection of Multiple Change Points in Networks: A Graphical Model Approach
    Amini, A. A., and Nguyen, X.
    IEEE Transactions on Information Theory 2013

2012

  1. ISIT
    Message-passing sequential detection of multiple change points in networks
    Nguyen, X.,  Amini, A. A., and Rajagopal, R.
    In IEEE International Symposium on Information Theory (ISIT) 2012
  2. JAT
    Approximation properties of certain operator-induced norms on Hilbert spaces
    Amini, A. A., and Wainwright, M. J.
    Journal of Approximation Theory 2012
  3. AOS
    Sampled forms of functional PCA in reproducing kernel Hilbert spaces
    Amini, A. A., and Wainwright, M. J.
    The Annals of Statistics 2012

2009

  1. AOS
    High-dimensional analysis of semidefinite relaxations for sparse principal components
    Amini, A. A., and Wainwright, M. J.
    The Annals of Statistics 2009

2008

  1. ISIT
    High-dimensional analysis of semidefinite relaxations for sparse principal components
    Amini, A. A., and Wainwright, M. J.
    In IEEE International Symposium on Information Theory (ISIT) 2008

2006

  1. MaxEnt
    A fast method for sparse component analysis based on iterative detection-projection
    Amini, A. A., Babai-Zadeh, M., and Jutten, C.
    In Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt) 2006
  2. EUSIPCO
    A new approach for sparse decomposition and sparse source separation
    Amini, A. A., Babaie-Zadeh, M., and Jutten, C.
    In European Signal Processing Conference (EUSIPCO) 2006