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Language Proficiency
English
French
Russian
Contacts
Phone:
27325
E-mail:
Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S943
Personal academic website
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ORCID: 0000-0003-4379-0164
ResearcherID: M-3855-2015
Scopus AuthorID: 37102283300
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Supervisors
S. Kuznetsov
A. Naumov
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Quentin Paris

  • Quentin Paris has been at HSE University since 2014.

Education and Degrees

  • 2013

    PhD
    École Normale Supérieure de Cachan
    Thesis Title: Statistics

  • 2011

    Master's in Probability and Statistics
    École Normale Supérieure de Cachan

  • 2008

    Master's
    University of Paris-Sud

  • 2007

    Bachelor's in Pure and Applied Mathematics
    University of Paris-Sud

Personal Academic Website

Student Term / Thesis Papers

Full list of of student term / thesis papers

Courses (2020/2021)

Courses (2019/2020)

Courses (2018/2019)

Courses (2015/2016)

Data Mining (Bachelor’s programme; Faculty of Economic Sciences; spec. "Экономика и статистика"; 4 year, 1, 2 module)Eng

Conferences

  • Upcoming or recent conferences and workshops (since 2018)

  • 2021
    Bernoulli-IMS 10th World Congress in Probability and Statistics (Seoul). Presentation: Convergence of empirical barycenters in metric spaces and the space of probability measures
  • Conference of the International Indian Statistical Association (IISA 2020) (Chicago). Presentation: Rates of convergence for empirical barycenters in the 2-Wasserstein space
  • 2020
    24th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2020) (Cambridge). Presentation: Rates of convergence for empirical barycenters in metric spaces
  • 2019
    Recent Advances in Mass Transportation (Moscow). Presentation: Convergence rates for empirical barycenters in geodesic spaces with lower bounded curvature
  • Workshop on Multivariate Data Analysis (Limassol). Presentation: Convergence rates for empirical barycenters in metric spaces
  • 2018
    Meeting in Mathematical Statistics (MMS 2018) (Frejus). Presentation: Learning minimizers of functionals on metric spaces
  • Structural Inference in High-Dimensional Models 1 (Moscow). Presentation: Rates of convergence of empirical barycenters in metric spaces
  • Mass Transportation Theory: Opening Perspectives in Statistics, Probability and Computer Science (Valladolid). Presentation: On the rate of convergence of empirical barycenters

Research Interests

My research interests are in Statistics, Statistical Learning Theory and Applied Probability. My past work focused mainly around statistical problems for high-dimensional or complex data. Recently, I started working on questions at the intersection of Statistics, Optimal Transport and Geometry.

Publications11


Employment history

Since 2017: Assistant Professor, Faculty of Computer Science (HSE), Department of Data Analysis and Artificial Intelligence & HDI Laboratory

2014 - 2017: Assistant Professor, Faculty of Economics (HSE), Department of Statistics and Data Analysis 

2013 - 2014: Postdoctoral Fellow. Center for Research in Economics and Statistics (CREST). Teaching assistant at the ENSAE engineering school. Paris, France.

 

Timetable for today

Full timetable

Faculty of Computer Science and Skoltech Host Third Statistical Learning Theory Olympiad

HSE University’s Faculty of Computer Science and Skoltech have organised Statistical Learning Theory Olympiad for the third time. The Olympiad’s main award is admission to the HSE University and Skoltech joint master’s programme.

Pr. Pierre Mathieu (Aix-Marseille University) gives a mini-course for The G2PS research group

The G2PS research group successfully continues its work and presents a mini-course by Pr. Pierre Mathieu (Aix-Marseille University) «Random walks on hyperbolic groups».
The first mini-course workshop took place on February 13, 2020; 18:10-21:00 in the context of G2PS meetings.

First Cohort Graduates from Master’s Programme in Statistical Learning Theory

The Master's Programme in Statistical Learning Theory was launched in 2017. It is run jointly with the Skolkovo Institute of Science and Technology (Skoltech). The programme trains future scientists to effectively carry out fundamental research and work on new challenging problems in statistical learning theory, one of the most promising fields of science. Yury Kemaev and Maxim Kaledin, from the first cohort of programme graduates, sat down with HSE News Service to talk about their studies and plans for the future.

First Cohort Graduates from Master’s Programme in Statistical Learning Theory

The Master's Programme ‘Statistical Learning Theory’ was launched in 2017, and is run jointly with the Skolkovo Institute of Science and Technology(Skoltech).

HSE Lends Its Support to the Very First Conference in ‘New Frontiers in High-Dimensional Probability and Statistics’

On February 23 and 24, the Institute for Information Transmission Problems of the Russian Academy of Sciences hosted the first international mini-conference entitled ‘New frontiers in high-dimensional probability and statistics’. The event was attended by Russian and international researchers in the field of statistical methods of analysis of multidimensional data and modern stochastic algorithms. The conference was hosted by HSE, the Institute for Information Transmission Problems of the RAS and Skoltech. Organisers included HSE Faculty of Computer Science staff, Vladimir Spokoiny, Alexey Naumov, Denis Belomestny and Quentin Paris.

HSE and University of London: Joint BA Programme in Applied Data Analysis

In 2018, the Higher School of Economics will launch an English-taught double degree programme in partnership with the University of London in Applied Data Analysis. Graduates will be awarded an undergraduate degree from HSE in Applied Mathematics and Information Science and a Bachelor of Science in Data Science and Business Analytics from the University of London. International applicants are invited to apply online starting November 15, 2017.

‘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.

French Professor Visits HSE’s Department of Statistics and Data Analysis

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.

"We Get a Lot of Freedom and Flexibility in Terms of What We Want to Teach"

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. 

More Cooperation with Researchers from Other Departments

The HSE LooK welcomes aboard Quentin Paris, Assistant Professor at the Faculty of Economics!