Egor Kosov
- Associate Professor:Faculty of Computer Science / Big Data and Information Retrieval School
- Senior Research Fellow:Faculty of Computer Science / International Laboratory of Stochastic Algorithms and High-Dimensional Inference
- Egor Kosov has been at HSE University since 2016.
Education and Degrees
- 2018
Candidate of Sciences* (PhD)
Lomonosov Moscow State University - 2018
Doctoral programme
Lomonosov Moscow State University - 2018
Doctoral programme
Lomonosov Moscow State University
* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Courses (2020/2021)
- Calculus (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
- Past Courses
Courses (2019/2020)
- Calculus (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-4 module)Rus
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
Courses (2018/2019)
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
Courses (2017/2018)
- Calculus 2 (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
20211
Article Kosov E. Total Variation Distance Estimates via L^2-Norm for Polynomials in Log-concave Random Vectors // International Mathematics Research Notices. 2021. P. 1-17. doi (in press)
20201
Article Bogachev V., Kosov E., Popova S. Densities of Distributions of Homogeneous Functions of Gaussian Random Vectors / Пер. с рус. // Doklady Mathematics. 2020. Vol. 102. No. 3. P. 460-463. doi
20194
- Article Bogachev V., Kosov E., Popova S. A new approach to Nikolskii-Besov classes // Moscow Mathematical Journal. 2019. Vol. 19. No. 4. P. 619-654. doi
- Article Kosov E. An Inequality between Total Variation and L^2 Distances for Polynomials in log-Concave Random Vectors / Пер. с рус. // Doklady Mathematics. 2019. Vol. 100. No. 2. P. 423-425. doi
- Article Kosov E. Besov classes on finite and infinite dimensional spaces // Sbornik Mathematics. 2019. Vol. 210. No. 5. P. 663-692. doi
- Article Kosov E. On fractional regularity of distributions of functions in gaussian random variables // Fractional Calculus and Applied Analysis. 2019. Vol. 22. No. 5. P. 1249-1268. doi
20184
- Article Kosov E., Arutyunyan L. Deviation of polynomials from their expectations and isoperimetry // Bernoulli: a journal of mathematical statistics and probability. 2018. Vol. 24. No. 3. P. 2043-2063. doi
- Article Bogachev V., Kosov E., Zelenov G. Fractional smoothness of distributions of polynomials and a fractional analog of the Hardy-Landau-Littlewood inequality // Transactions of the American Mathematical Society. 2018. Vol. 370. No. 6. P. 4401-4432. doi
- Article Kosov E. Fractional smoothness of images of logarithmically concave measures under polynomials // Journal of Mathematical Analysis and Applications. 2018. Vol. 462. No. 1. P. 390-406. doi
- Article Косов Е. Д. Классы Бесова на пространстве с гауссовской мерой // Доклады Академии наук. 2018. Т. 478. № 2. С. 133-136. doi
20175
- Article Bogachev V., Kosov E., Popova S. N. A characterization of Nikolskii–Besov classes via integration by parts / Пер. с рус. // Doklady Mathematics. 2017. Vol. 96. No. 2. P. 449-453. doi
- Article Kolesnikov A., Kosov E. Moment measures and stability for Gaussian inequalities // Theory of Stochastic Processes. 2017. Vol. 22. No. 38. P. 47-61.
- Article Bogachev V., Kosov E., Popova S. On Gaussian Nikolskii-Besov classes / Пер. с рус. // Doklady Mathematics. 2017. Vol. 96. No. 2. P. 498-502. doi
- Article Богачев В. И., Косов Е. Д., Попова С. Н. О гауссовских классах Никольского-Бесова // Доклады Академии наук. 2017. Т. 476. № 6. С. 609-613. doi
- Article Косов Е. Д. Характеризация классов Бесова через новый модуль непрерывности // Доклады Академии наук. 2017. Т. 477. № 4. С. 398-401. doi
20162
- Article Bogachev V., Zelenov G., Kosov E. Membership of distributions of polynomials in the Nikolskii–Besov class // Doklady Mathematics. 2016. Vol. 94. No. 1. P. 453-457. doi
- Article Богачев В. И., Зеленов Г. И., Косов Е. Д. Принадлежность распределений многочленов к классам Никольского-Бесова // Доклады Академии наук. 2016. Т. 469. № 6. С. 651-655. doi
20153
- Article Lavrentin Arutyunyan, Egor Kosov. Sets of admissible shifts of convex measures // Rendiconti Lincei-Matematica e Applicazioni. 2015. Vol. 26. No. 1. P. 93-98. doi
- Article Косов Е. Д. Нижние оценки мер уклонений многочленов от математических ожиданий // Доклады Академии наук. 2015. Т. 465. № 3. С. 278-280. doi
- Article Арутюнян Л. М., Косов Е. Д. Оценки интегральных норм многочленов на пространствах с выпуклыми мерами // Математический сборник. 2015. Т. 206. № 8. С. 3-22. doi
20141
Article Арутюнян Л. М., Косов Е. Д., Ярославцев И. С. О некоторых свойствах многочленов, измеримых по гауссовской мере // Доклады Академии наук. 2014. Т. 457. № 2. С. 131-135. doi
20121
Article Косов Е. Д. Носители мер со слабыми моментами // Доклады Академии наук. 2012. Т. 447. № 3. С. 254-258. doi