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Publications in Math-Net.Ru |
Citations |
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2024 |
| 1. |
Nikita Puchkin, Sergey Samsonov, Denis Belomestny, Eric Moulines, Alexey Naumov, “Rates of convergence for density estimation with generative adversarial networks”, J. Mach. Learn. Res., 25 (2024), 1–47  |
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2022 |
| 2. |
A. A. Masyutin, A. V. Savchenko, A. A. Naumov, S. V. Samsonov, D. N. Tyapkin, D. V. Belomestny, D. S. Morozova, D. A. Bad'ina, “Development of applied solutions based on artificial intelligence for technological security control”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022), 28–32  ; Dokl. Math., 106:suppl. 1 (2022), S23–S27 |
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2019 |
| 3. |
D. V. Belomestny, L. Iosipoi, “On density estimation via fourier series”, UBS, 82 (2019), 28–43 |
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2014 |
| 4. |
D. V. Belomestny, A. V. Prokhorov, “Stability of characterization the independence of random variables by the independence of the linear statistics”, Teor. Veroyatnost. i Primenen., 59:4 (2014), 776–781  ; Theory Probab. Appl., 59:4 (2015), 672–677   |
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2013 |
| 5. |
D. V. Belomestny, V. G. Spokoiny, “Concentration inequalities for smooth random fields”, Teor. Veroyatnost. i Primenen., 58:2 (2013), 401–410  ; Theory Probab. Appl., 58:2 (2014), 314–323 |
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2009 |
| 6. |
D. V. Belomestny, L. Rüschendorf, M. A. Urusov, “Optimal Stopping of Integral Functionals and a “No-Loss” Free Boundary Formulation”, Teor. Veroyatnost. i Primenen., 54:1 (2009), 80–96 ; Theory Probab. Appl., 54:1 (2010), 14–28 |
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2004 |
| 7. |
D. V. Belomestny, “Reconstruction of the general distribution by the distribution of some
statistics”, Teor. Veroyatnost. i Primenen., 49:1 (2004), 3–20 ; Theory Probab. Appl., 49:1 (2005), 1–15 |
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2003 |
| 8. |
D. V. Belomestny, A. V. Prokhorov, “On the problem of reconstructing the general distribution from the distribution of a linear statistics”, Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 2003, no. 2, 3–8 |
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2001 |
| 9. |
D. V. Belomestny, “On the Problem of Reconstructing a Summands Distribution by Their Sum”, Teor. Veroyatnost. i Primenen., 46:2 (2001), 366–370 ; Theory Probab. Appl., 46:2 (2002), 336–341 |
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| Presentations in Math-Net.Ru |
| 1. |
Lecture 3. Mathematical Foundations of Reinforcement Learning
D. V. Belomestny
Denis Belomestny mini course "Mathematical Foundations of Reinforcement Learning"
October 3, 2024 18:00
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| 2. |
Preference-based Reinforcement Learning
D. V. Belomestny
Mathematical Foundations of Artificial Intelligence
October 2, 2024 17:00
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| 3. |
Lecture 2. Mathematical Foundations of Reinforcement Learning
D. V. Belomestny
Denis Belomestny mini course "Mathematical Foundations of Reinforcement Learning"
October 2, 2024 15:00
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| 4. |
Lecture 1. Mathematical Foundations of Reinforcement Learning
D. V. Belomestny
Denis Belomestny mini course "Mathematical Foundations of Reinforcement Learning"
October 1, 2024 18:00
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| 5. |
Оценивание диффузионных матриц для высокоразмерных процессов Леви и деконволюция для распределений с разреженными ковариационными матрицами
D. V. Belomestny
Seminar on Probability Theory and Mathematical Statistics
October 5, 2018 18:00
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| 6. |
Efficient simulation of Levy areas and related problems
D. V. Belomestny
Structural Learning Seminar
March 2, 2017 17:00
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| 7. |
Threshold estimation for sparse high-dimensional deconvolution
D. V. Belomestny
Structural Learning Seminar
November 18, 2016 17:00
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| 8. |
Spectral estimation for sparse multi-dimensional Lévy processes
D. V. Belomestny, E. Yu. Klochkov
Workshop “Frontiers of High Dimensional Statistics, Optimization, and Econometrics”
February 26, 2015 12:30
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| 9. |
Backward SDEs and approximation. Lecture 3
D. V. Belomestny
October 11, 2014
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| 10. |
Backward SDEs and approximation. Lecture 2
D. V. Belomestny
October 9, 2014
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| 11. |
Backward SDEs and approximation. Lecture 1
D. V. Belomestny
October 8, 2014
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| 12. |
Statistical Skorohod embedding problem and its generalizations
D. V. Belomestny
Advances in Stochastic Analysis
September 3, 2014 12:45
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| 13. |
Recent Results on Approximation of Solutions of Stochastic Differential Equations. Lecture 3
D. V. Belomestny
Mathematical Seminar
March 25, 2014 18:30
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| 14. |
Recent Results on Approximation of Solutions of Stochastic Differential Equations. Lecture 2
D. V. Belomestny
Mathematical Seminar
March 11, 2014 18:30
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| 15. |
Recent Results on Approximation of Solutions of Stochastic Differential Equations. Lecture 1
D. V. Belomestny
Mathematical Seminar
March 11, 2014 17:00
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| 16. |
New trends in Predictive Modeling: Overview
Yu. E. Nesterov, A. V. Gasnikov, D. V. Belomestny, E. V. Burnaev, G. A. Kabatiansky
PreMoLab Seminar
December 26, 2013 15:30
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| 17. |
Modern methods of computational stochastics
D. V. Belomestny
Principle Seminar of the Department of Probability Theory, Moscow State University
September 11, 2013 16:45
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| 18. |
Optimal stopping via multilevel Monte Carlo
Denis Belomestny
International conference "Advanced Finance and Stochastics"
June 26, 2013 11:30
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| 19. |
Современные методы Монте-Карло и оптимизации для решения задач оптимальной остановки в финансовой математике (часть 3.2)
D. V. Belomestny
Problems in Stochastic Analysis
September 29, 2012 14:30
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| 20. |
Современные методы Монте-Карло и оптимизации для решения задач оптимальной остановки в финансовой математике (часть 3.1)
D. V. Belomestny
Problems in Stochastic Analysis
September 29, 2012 12:00
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| 21. |
Современные методы Монте-Карло и оптимизации для решения задач оптимальной остановки в финансовой математике (часть 2)
D. V. Belomestny
Problems in Stochastic Analysis
September 22, 2012 12:00
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| 22. |
Современные методы Монте-Карло и оптимизации для решения задач оптимальной остановки в финансовой математике (часть 1)
D. V. Belomestny
Problems in Stochastic Analysis
September 15, 2012 10:00
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