About me

I am an Assistant Professor at CentraleSupélec - Université Paris-Saclay and a member of the Laboratoire Signaux et Systèms. Previously, I was a postdoctoral fellow at CREST-ENSAE funded by Labex ECODEC and hosted by Prof. Arnak Dalalyan. I received my PhD in mathematics from YSU under the supervision of Prof. Victor Ohanian. Additionally, I pursued my master’s and bachelor’s programs in mathematics at SkolTech and HSE respectively.

My research interests lie broadly in the intersection of (high-dimensional) robust statistics and learning theory. In particular, my work so far has focused on studying the statistical and computational complexities of certain problems in high-dimensional statistics.

Contact: arshak.minasyan@centralesupelec.fr

Publications

Preprints

• Statistically Optimal Robust Mean and Covariance Estimation for Anisotropic Gaussians
  Arshak Minasyan, Nikita Zhivotovskiy
  Preprint

• Nearly Minimax Robust Estimator of the Mean Vector by Iterative Spectral Dimension Reduction
  Amir-Hossein Bateni, Arshak Minasyan, Arnak S. Dalalyan
  Preprint [software]

Journal & Conference Publications

• Matching Map Recovery with an Unknown Number of Outliers
  Arshak Minasyan, Tigran Galstyan, Sona Hunanyan, Arnak Dalalyan
  Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:891-906 [software]
• Optimal Detection of the Feature Matching Map in Presence of Noise and Outliers
  Tigran Galstyan, Arshak Minasyan, Arnak Dalalyan
  Electronic Journal of Statistics, 16(2): 5720-5750 (2022). [pdf] [software]
• All-in-one Robust Estimator of the Gaussian Mean
  Arnak S. Dalalyan, Arshak Minasyan
  Annals of Statistics, Vol. 50(2): 1193-1219 (2022). [pdf] [software]
• Excess-risk Consistency of Group-hard Thresholding Estimator in Robust Estimation of Gaussian Mean
  Arshak Minasyan
  Journal of Contemporary Mathematical Analysis (Armenian Academy of Sciences), 55: 208–212 (2020). [pdf]
• Alternating Least Squares in Generalized Linear Models
  Arshak Minasyan
  Journal of Contemporary Mathematical Analysis (Armenian Academy of Sciences), 54: 302–312 (2019). [pdf]

Talks

• Optimal Transport, Statistics, Machine Learning and moving in between
  September 2022 in Eindhoven, Netherlands
  Matching map recovery of unknown size in presence of noise and outliers
• International Conference on Computational Statistics (COMPSTAT)
  August 2022 in Bologne, Italy
  All-in-one Robust Estimator of the Gaussian Mean
• International Symposium on Nonparametric Statistics
  June 2022 in Paphos, Cyprus
  Robust mean estimation of the Gaussian mean by iteratice spectral dimension reduction
• Meeting in Mathematical Statistics
  December 2021 in Luminy, France
  All-in-one Robust Estimator of the Gaussian Mean
• Modern methods of information theory and optimization
  July 2021 in Sochi, Russia
  Feature Matching Detection in Presence of Noise and Outliers
• International Conference Dedicated to the 100th Anniversary of YSU
  December 2019 in Yerevan, Armenia
  Robust Estimation of the Mean of sub-Gaussian Vector
• Structural Inference in High-Dimensional Models 2
  August 2019 in Saint-Petersburg, Russia
  Excess-Risk Consistency in Robust Estimation of Gaussian Mean
• 21st European Young Statisticians Meeting
  June 2019 in Belgrade, Serbia
  On the Convergence and Robustness of Mean Estimation
• 12th International Conference on Numerical Optimization and Numerical Linear Algebra
  May 2019 in Shangrao, Jiangxi, China
  Robust Mean Estimation via Convex Optimization and Beyond
• International Conference on Mathematical Optimization
  April 2019 in Beijing, China
  Importance Sampling via Convex Optimization
• Science and Technology Convergence Conference
  October 2018 in Yerevan, Armenia
  Computational Tractability in the Tasks of Robust Estimation
• Structural Inference in High-Dimensional Models
  September 2018
  Iteratively re-weighted least squares method convergence for Huber function
• Generation-Y Conference
  December 2017 in Sochi, Russia
  Robust Principal Component Analysis

Teaching

1. CREST-ENSAE
   • Teaching Assistant in “Statistique 2”
   • Project “Modelisation statistique” for 2nd year ENSAE students
2. Université Paris-Saclay, Laboratoire de Mathématiques d’Orsay
   • “Statistical theory of algorithmic fairness”
3. Yerevan State University (YSU)
   • Teaching Assistant in “Probability Theory I, II “ 2019-2021
   • Teaching Assistant in “Stochastic Processes” Fall 2020
   • Lecturer of “High-dimensional statistics”, Spring 2020
4. Skolkovo Institute of Science and Technology (SkolTech)
   • Teaching Assistant in “Biostatistics”, Spring 2019
5. Higher School of Economics (HSE)
   • Teaching Assistant in “Probability Theory and Statistics I, II” 2014-2016
   • Teaching Assistant in “Statistical Methods in Machine Learning” 2017-2018
   • Teaching Assistant in “Statistics of Stochastic Processes” 2017-2019

CV

My CV can be found here. Last update: 10.12.2023