• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Workshop

Structural Inference in High-Dimensional Models

 



This is the first joint Moscow-Paris workshop, which starts a series of annual joint meetings of researchers from France and Russia, working on modern aspects of high-dimensional probability, statistics and their applications. Key topics of this event are 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. 

The scientific programme of the workshop consists of two mini-courses, approximately 20 oral presentations (invited and contributed talks) and a poster session (posters will be selected by the Programme Committee).   Program is now available.

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.