About me

I am a Tenure Track Assistant Professor of Statistics 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. Prof. Arnak Dalalyan and Prof. Victor Ohanian. Before that, I pursued my master’s degree in mathematics and computer science at SkolTech. Even before that, I obtained my bachelor’s degree in mathematics from Higher School of Economics in Moscow, Russia.

My research interests lie broadly in the intersection of (high-dimensional) robust statistics, learning theory, and optimization. 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

• Exact Permutation Recovery Under Unknown Scalar Affine Transformation
  T. Galstyan, A. Karagulyan, A. Minasyan
  arXiv preprint arXiv:2607.08628 (2026).

Journal & Conference Publications

• Statistically Optimal Robust Mean and Covariance Estimation for Anisotropic Gaussians
  A. Minasyan, N. Zhivotovskiy
  Mathematical Statistics & Learning, 8(1/2):33-69 (2025).

• Nearly Minimax Robust Estimator of the Mean Vector by Iterative Spectral Dimension Reduction
  A.-H. Bateni, A. Minasyan, A. Dalalyan
  Bernoulli, 31(4):2699-2722 (2025). [software]

• Matching Map Recovery with an Unknown Number of Outliers
  A. Minasyan, T. Galstyan, S. Hunanyan, A. Dalalyan
  Proceedings of the 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:891-906 (2023). [software]

• Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
  E. Vardanyan, S. Hunanyan, T. Galstyan, A. Minasyan, A. Dalalyan
  Proceedings of the 41st International Conference on Machine Learning, PMLR 235:49203-49225 (2024).

• Optimality of the Least Sum of Logarithms in the Problem of Matching Map Recovery in the Presence of Noise and Outliers
  T. Galstyan, A. Minasyan
  Armenian Journal of Mathematics, 15(5):1-9 (2023).

• Optimal Detection of the Feature Matching Map in Presence of Noise and Outliers
  T. Galstyan, A. Minasyan, A. Dalalyan
  Electronic Journal of Statistics, 16(2):5720-5750 (2022). [pdf]

• All-In-One Robust Estimator of the Gaussian Mean
  A. Dalalyan, A. Minasyan
  Annals of Statistics, 50(2):1193-1219 (2022). [pdf] [software]

• On Random Weighted Sum of Positive Semi-Definite Matrices
  T. Galstyan, A. Minasyan
  Proceedings of the YSU A: Physical and Mathematical Sciences, 54:96-100 (2020).

• Excess-Risk Consistency of Group-Hard Thresholding Estimator in Robust Estimation of Gaussian Mean
  A. Minasyan
  Journal of Contemporary Mathematical Analysis, 55:208-212 (2020).

• Alternating Least Squares for Generalized Linear Models
  A. Minasyan
  Journal of Contemporary Mathematical Analysis, 54:302-321 (2019).

Selected talks

• [Seminar in the Department of Statistics, Oxford University]
  June 2026 in Oxford, England
  Exact Permutation Recovery: old and new results, some open problems
• Statistical Learning for Signal and Image Processing (SLSIP) Workshop
  May 2026 in Krujë, Albania
  Exact Permutation Recovery under Unknown Scalar Affine Transformations
• Workshop: RECENT ADVANCES IN STATISTICAL ROBUSTNESS
  April 2025 in Rabat, Morocco \ Statistically optimal robust mean and covariance estimation for anisotropic Gaussians
• 10th edition of the Statistics & Computer Science Day for Data Science in Paris-Saclay
  March 2025 in Bures-sur-Yvette, France
  Optimal Rates of Exact Recovery of the Matching Map
• Meeting in Mathematical Statistics
  December 2023 in Luminy, France
  Statistically optimal robust mean and covariance estimation for anisotropic Gaussians
• 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 iterative spectral dimension reduction
• Meeting in Mathematical Statistics
  December 2021 in Luminy, France
  All-in-one Robust Estimator of the Gaussian Mean
• 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

Teaching

1. CentraleSupélec, Université Paris-Saclay - Gif-sur-Yvette, France
   • Lecturer, “Statistique et apprentissage” (1A), Spring 2024-present
   • Lecturer, “Theoretical Deep Learning” (3A), Fall 2026
   • Lecturer, “Statistique Inferentielle” (MSc 1A), Spring 2027
2. CREST-ENSAE - Palaiseau, France
   • Teaching Assistant, “Statistique 2”, Spring 2023
   • “Modelisation statistique” project for second-year ENSAE students, Spring 2023
3. Université Paris-Saclay, Laboratoire de Mathématiques d’Orsay - Paris, France
   • “Statistical Theory of Algorithmic Fairness”, Spring 2023
4. Yerevan State University (YSU) - Yerevan, Armenia
   • Teaching Assistant, “Probability Theory I”, Fall 2019-2020
   • Teaching Assistant, “Stochastic Processes”, Fall 2020
   • Lecturer, “High-Dimensional Statistics”, Spring 2020
   • Teaching Assistant, “Probability Theory II”, Spring 2020
5. National Research University Higher School of Economics (HSE) - Moscow, Russia
   • Head Teaching Assistant, “Statistical Methods in Machine Learning”, Fall 2017
   • Head Teaching Assistant, “Statistics of Stochastic Processes”, Spring 2017 and Spring 2018
   • Teaching Assistant, “Probability Theory and Statistics I, II”, 2014 and 2015

CV

My CV can be found here. Last updated: July 2026.