Arash A. Amini

Associate Professor of Statistics at UCLA.


I work on problems in statistics, machine learning, optimization, etc. Some of my current research interests are:

  • High-dimensional statistics
  • Network models
  • Unsupervised and semisupervised learning
  • Clustering and community detection
  • Causal graphical models
  • Kernel methods
  • Representation learning
  • Optimization
  • Quantitative Finance

I did my PhD at UC Berkeley with Martin Wainwright and a post-doc at University of Michigan with Liza Levina and Long Nguyen. You can learn more about me from my CV.

Do you want to ask about research opportunities? Please refer to this FAQ first.

My office is at 8105F Math Sciences Building.
Office Hours: Thursdays 11am-1pm (starting 1/18/24) (Winter 2024)


Considering sending an email to request a PTE for class enrollment? Please make sure to review this information first.


Dec 11, 2023 Excited to be a panelist on Reconsidering Overfitting in the Age of Overparameterized Models at NeurIPS 2023!
Mar 4, 2022 The bcdc package for Bayesian community detection with covariates is out. Check out the paper for more details.
Feb 5, 2021 Check out the hsbm package for hierarchical network clustering.
Dec 30, 2020 Check out the nett package for community detection!
Dec 30, 2020 New paper out: Adjusted chi-square test for degree-corrected block models.

selected publications

  1. AOS
    Adjusted Chi-Square Test for Degree-Corrected Block Models
    Zhang, Linfan, and Amini, Arash A.
    The Annals of Statistics 2023
  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
  4. JMLR
    Optimal bipartite network clustering
    Zhou, Zhixin, and Amini, Arash A.
    Journal of Machine Learning Research 2020
  5. 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
  6. 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
  7. AOS
    On semidefinite relaxations for the block model
    Amini, A. A., and Levina, E.
    The Annals of Statistics 2018