Quentin Paris

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 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 fourth issue of 2020 presents three interviews on the digital university concept and introduces new tenure faculty.

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.

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.

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.

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.

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

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.

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.

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!