Quentin Paris
- Associate Professor: Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Quentin Paris has been at HSE University since 2014.
Education and Degrees
École Normale Supérieure de Cachan
Thesis Title: Statistics
École Normale Supérieure de Cachan
University of Paris XI
Courses (2024/2025)
- High Dimensional Probability and Statistics (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Eng
- Past Courses
Courses (2023/2024)
- High Dimensional Probability and Statistics (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Eng
Courses (2022/2023)
- High Dimensional Probability and Statistics (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Eng
- Modern Methods of Decision Making (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Eng
- Modern Methods of Decision Making (Mago-Lego; 3, 4 module)Eng
Courses (2021/2022)
- High-dimensional Statistical Methods (Master’s programme; Faculty of Computer Science; 1 year, 3 module)Eng
- Modern Methods of Decision Making (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Eng
- Research Seminar StaGe: Statistics, Geometry and their interaction with Graph Theory (Postgraduate course; Faculty of Computer Science field of study Computer and Information Scienc, field of study Informatics and Computer Engineering; 1 year, 1 semester)Eng
Courses (2020/2021)
- High-dimensional Statistical Methods (Master’s programme; Faculty of Computer Science; 1 year, 3 module)Eng
- Modern Methods of Data Analysis (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Eng
- Modern Methods of Decision Making (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Eng
- Research Seminar StaGe: Statistics, Geometry and their interaction with Graph Theory (Postgraduate course; Faculty of Computer Science field of study Computer and Information Scienc, field of study Informatics and Computer Engineering; 2 year, 1 semester)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.
Supervisor of the following Doctoral theses
- 1D. Demidova On the intersections between sampling and geometry
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.
HSE Faculty of Computer Science and Skoltech Hold Math of Machine Learning Olympiad 2022
HSE's Faculty of Computer Science and the Skolkovo Institute of Science and Technology have held the Mathematics of Machine Learning Olympiad for the fifth time. The participants competed for prizes and the opportunity to matriculate at two universities without exams by enrolling in the HSE and Skoltech joint master's programme in Math of Machine Learning.
HSE Is One of the Top Universities That Offers Programmes in English
HSE Faculty of Computer Science offers eight Master’s programmes, including four programmes taught entirely in English. Samia Nasrin, from Data Science Master’s programme, and Usama Albaghdady, from Master’s in System and Software Engineering, talk about choosing HSE University, admissions process, their studies and future plans.
The HSE Look October Issue
The fourth issue of 2020 presents three interviews on the digital university concept and introduces new tenure faculty.
HSE University Student Finds Optimum Algorithm for Finding Wasserstein Barycentre
In August, Control, Information, and Optimisation school was held by Sirius education centre. At the school Daniil Tyapkin, fourth-year student of Applied Mathematics and Computer Science bachelor’s programme has found an optimum algorithm of finding Wasserstein barycentre, which he was solving throughout 2020. Here Daniil talks about the history of the problem and its practical applications.
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!