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Regular version of the site
Workshop

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 BachFrancis Bach (INRIA - ECOLE NORMALE SUPERIEURE),  
Large-scale machine learning and convex optimization.
Arnak DalalyanArnak Dalalyan (CREST, ENSAE), 
On robust estimation of a high dimensional parameter.

Speakers:

Programme Committee: E. Moulines , V. Spokoiny , A. Goldenshluger , D. Belomestny .

Local Organizing Committee: A. Naumov , V. Ulyanov , Q. Paris , L. Iosipoi.

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 hdilab@hse.ru.