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Regular version of the site
ФКН
Contacts

Dean — Ivan Arzhantsev

 

First Deputy Dean— Tamara Voznesenskaya

 

Deputy Dean for Research and International Relations - Sergei Obiedkov

 

Deputy Dean for finance and administration - Irina Plisetskaya

 

Dean's office
 

Phone: +7 (495) 772-95-90 * 12332

computerscience@hse.ru

Moscow, 3 Kochnovsky Proezd (near metro station 'Aeroport'). 

Book chapter
GANs for Biological Image Synthesis

Osokin A., Chessel A., Carazo Salas R. E. et al.

In bk.: Proceedings of the IEEE International Conference on Computer Vision (ICCV 2017). Venice: IEEE, 2017. P. 2252-2261.

Article
The Second Term in the Asymptotics for the Number of Points Moving Along a Metric Graph

Vsevolod L. Chernyshev, Tolchennikov A. A.

Regular and Chaotic Dynamics. 2017. Vol. 22. No. 8. P. 937-948.

Article
A Conditional Information Inequality and its Combinatorial Applications

Vereshchagin N., Kaced T., Romashchenko A.

IEEE Transactions on Information Theory. 2018. No. 99. P. 1-8.

Article
Dual subgradient method with averaging for optimal resource allocation
In print

Nesterov Y., Shikhman V.

European Journal of Operational Research. 2018. P. 1-10.

Article
Finite sample properties of the mean occupancy counts and probabilities
In print

Decrouez G. G., Grabchak M., Paris Q.

Bernoulli: a journal of mathematical statistics and probability. 2018. Vol. 24. No. 3. P. 1910-1941.

Faculty Colloquium: On empirical risk minimization and its variants for statistical learning. Speaker: Quentin Paris, HSE

Event ended

January 23, 18:10 – 19:30 

Quentin Paris, HSE 

On empirical risk minimization and its variants for statistical learning

In this talk, we review fundamental principles of empirical risk minimization and its performance guarantees for statistical learning. We discuss the close interaction with the field of empirical processes and the connection to Vapnik–Chervonenkis combinatorics (including the notion of combinatorial dimension). We present the best known theoretical guarantees for the prediction error of empirical risk minimizers, discuss the limitations of the method, and mention some recent contributions.

Colloquium

Venue:

Moscow, Kochnovsky pr.,3, room 205, 18:10 
Everyone interested is welcome to attend. 
If you need a pass to HSE, please contact computerscience@hse.ru