- Senior Research Fellow:Laboratory of Stochastic Analysis and its Applications
- Assistant Professor:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Quentin Paris has been at HSE since 2014.
Education and Degrees
Thesis Title: Statistics
Master in Probability and Statistics
Ecole normale supérieure de Cachan
University of Paris XI
Bachelor in Pure and Applied Mathematics
University of Paris XI
Personal Academic Website
Student Term / Thesis Papers
R. Skoromnyi «Prediction of Individual Sequences with Application to Finance». International College of Economics and Finance, 2017
A. Filatov «On the Performance of Linear Predictors in the Semi-Supervised Framework». Faculty of Economic Sciences, 2017
- High-dimensional Statistical Methods (Master’s programme; Faculty of Computer Science; programme "Статистическая теория обучения"; 1 year, 2, 3 module)Eng
- Introduction to statistical learning theory (Bachelor’s programme; Faculty of Computer Science; programme "Applied Mathematics and Information Science"; 4 year, 1, 2 module)Eng
- Introduction to statistical learning theory (Bachelor’s programme; Faculty of Computer Science; programme "Applied Mathematics and Information Science"; 3 year, 1, 2 module)Eng
- Modern Methods of Data Analysis (Master’s programme; Faculty of Computer Science; programme "Data Analysis for Biology and Medicine"; 1 year, 1, 2 module)Eng
- Modern Methods of Data Analysis (Master’s programme; Faculty of Computer Science; programme "Data Science"; 1 year, 1, 2 module)Eng
- Functional Analysis (Bachelor’s programme; Faculty of Economic Sciences; programme "Joint HSE-NES Undergraduate Program in Economics"; 2 year, 1, 2 module)Rus
- High Dimensional Statistics (Master’s programme; Faculty of Economic Sciences; programme "Statistical Modelling and Actuarial Science"; 1 year, 3 module)Eng
- Data Mining (Bachelor’s programme; Faculty of Economic Sciences; programme "Economics and Statistics"; spec. "Экономика и статистика"; 4 year, 1, 2 module)Eng
Foreign Language (English) (Bachelor’s programme; Faculty of Economic Sciences; programme "Economics and Statistics"; spec. "Экономика и статистика"; 4 year, 4 module)Rus
My general research interests are in statistical learning theory and its applications. My past and current work focuses around statistical problems in the context of high-dimensional data. I am interested in the interplay between the theoretical relevance and the computational tractability of statistical learning algorithms. Recently, I have also started working on the occupancy problem, a topic in extreme value theory.
- Article Decrouez G. G., Grabchak M., Paris Q. Finite sample properties of the mean occupancy counts and probabilities // Bernoulli: a journal of mathematical statistics and probability. 2017. Vol. (To appear) (in print)
- Article Dalalyan A., Grappin E., Paris Q. On the exponentially weighted aggregate with the Laplace prior // Working papers by Cornell University. Series math "arxiv.org". 2016. Vol. Submitted
- Preprint Bellec P., Dalalyan A., Grappin E., Paris Q. On the prediction loss of the lasso in the partially labeled setting / Cornell University. Series arxive "math". 2016. No. 1.
- Article Paris Q. Minimax adaptive dimension reduction for regression // Journal of Multivariate Analysis. 2014. Vol. 128. P. 182-202.
- Article Cadre B., Paris Quentin. On Hölder fields clustering // TEST. 2012. Vol. 21. No. 2. P. 301-316.
Since 2014. Assistant Professor. National Research University - Higher School of Economics. Faculty of Economics. Department of Statistics and Data Analysis. Senior research fellow at the Laboratory of Stochastic Analysis and its Applications. Moscow, Russia.
2013 - 2014. Postdoctoral researcher in Statistics. Center for Research in Economics and Statistics (CREST). Teaching assistant at the ENSAE engineering school. Paris, France.
2010 - 2013. Ph.D in Statistics & Teaching assistant at the Ecole Normale Superieure de Cachan, antenne de Bretagne. Rennes, France.
‘Our Programme Aims to Make a Research Breakthrough at the Intersection of Mathematics and Computer Science’
In 2017, the HSE Faculty of Computer Science and Skoltech are opening admissions to the Master’s programme inStatistical Learning Theory, which will become the successor to theMathematical Methods of Optimization and Stochastics programme.Vladimir Spokoiny, the programme’s academic supervisor and professor of mathematics at Humboldt University in Berlin, told us about the research part of the new programme and the opportunities it offers to both Master’s students and undergraduate students alike.
On October 8-22, Thibaut Le Gouic, Associate Professor at Ecole Centrale Marseille, delivered a series of lectures on ‘Metric Geometry and Optimal Transport’ at HSE. This event was organized by the HSE Faculty of Economic Sciences and Laboratory of Stochastic Analysis and its Applications . During the visit, Professor Le Gouic shared his research plans with colleagues from the laboratory, including Quentin Paris, Assistant Professor at the Department of Statistics and Data Analysis and Senior Research Fellow.
Geoffrey Decrouez is an Assistant Professor at the Faculty of Computer Science at HSE. He told The HSE Look about his research and teaching at HSE.
The HSE LooK welcomes aboard Quentin Paris, Assistant Professor at the Faculty of Economics!