Structural Inference in High-Dimensional Models
This is the first joint Moscow-Paris workshop to celebrate the creation of the International Laboratory of Stochastic Algorithms and High Dimensional Inference at the National Research University Higher School of Economics (Moscow, Russia). It starts the series of annual joint meetings of researchers from France and Russia, working on modern aspects of high-dimensional probability, statistics and their applications, including stochastic algorithms, efficient dimension reduction, community detection in large networks, optimal transport, random matrices, concentration of measure phenomena, stochastic geometry, and inference for stochastic processes. Workshop provides several grants for young people from Russian cities (except Moscow).
The scientific programme of the workshop will consist of two mini-courses, approximately 20 oral presentations (invited and contributed talks) and a poster session (posters will be selected by the Programme Committee). Preliminary version of the programme will be available soon.
Mini-courses (each course consists of two 60 minutes lectures):
|Francis Bach (INRIA - ECOLE NORMALE SUPERIEURE), |
Large-scale machine learning and convex optimization.
|Arnak Dalalyan (ENSAE ParisTech), |
On robust estimation of a high dimensional parameter.
- Ildar Ibragimov (PDMI RAS)
- Anna Ben-Hamou (Sorbonne University),
Estimating graph parameters with random walks
- Denis Belomestny (HSE; University of Duisburg-Essen)
- Gérard Biau (Sorbonne University),
Some theoretical properties of GANs
- Evgeny Burnaev (Skoltech; HSE),
Quadrature-based features for kernel approximation
- Marko Cuturi (CREST ENSAE),
Regularized optimal transport
- Alain Durmus (ENS Paris-Saclay)
- Yuri Golubev (CNRS),
Bayes tests in sparse vectors detection
- Marc Hoffmann (University Paris-Dauphine)
- Clement Levrard (University Paris-Diderot)
- Jean-Michel Loubes (University of Toulouse),
Fairness in Machine Learning Algorithms using Optimal Transport
- Blazej Miasojedow (University of Warsaw),
Analysis of Langevin Monte Carlo via convex optimization
- Maxim Panov (Skoltech; HSE)
- Quentin Paris (HSE)
- Alexander Tikhomirov (Komi SC RAS),
On the linear and quadratic statistics of the eigenvalues of large random matrices
- Alexandre Tsybakov (Université Paris VI)
- Andrei Zaitsev (PDMI RAS),
Rare events and Poisson point processes
- Dmitry Zaporozhets (PDMI RAS)
Venue: The conference will be held at the National Research University Higher School of Economics (11/20 Myasnitskaya street, Moscow).
Registration: The number of participants is limited. Registration of any person willing to participate is mandatory. Please, use the link to register.
For any questions, please feel free to contact the Workshop’s Administration at email@example.com.