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2024 |
1. |
D. Tiapkin, D. Belomestny, D. Calandriello, E. Moulines, A. Naumov, P. Perrault, M. Valko, P. Menard, “Demonstration-regularized RL”, International Conference on Learning Representations, 2024, 1–65 https://openreview.net/forum?id=lF2aip4Scn, arXiv: 2310.17303 |
2. |
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 ; |
3. |
M. Gorbunov, N. Yudin, V. Soboleva, A. Alanov, A. Naumov, M. Rakhuba, “Group and Shuffle: Efficient Structured Orthogonal Parametrization”, 38th Conference on Neural Information Processing Systems (NeurIPS 2024), Neural Information Processing Systems, NeurIPS, 2024, 1–27 https://openreview.net/pdf?id=7EQx56YSB2 |
4. |
S. Samsonov, E. Moulines, Q. M. Shao, Z. S. Zhang, A. Naumov, “Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning”, 38th Conference on Neural Information Processing Systems (NeurIPS 2024), Neural Information Processing Systems, NeurIPS, 2024, 1–53 https://openreview.net/pdf?id=S0Ci1AsJL5 |
5. |
Daniil Tiapkin, Nikita Morozov, Alexey Naumov, Dmitry Vetrov, “Generative flow networks as entropy-regularized RL”, Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024, Valencia, Spain, Proc. Mach. Learn. Res. (PMLR), 238, 2024, 4213–4221 ; |
6. |
Sergey Samsonov, Daniil Tiapkin, Alexey Naumov, Eric Moulines, “Improved high-probability bounds for the temporal difference learning algorithm via exponential stability”, Proceedings of Thirty Seventh Conference on Learning Theory, Proc. Mach. Learn. Res. (PMLR), 247, 2024, 4511–4547 ; |
7. |
Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, “Finite-time high-probability bounds for Polyak–Ruppert averaged iterates of linear stochastic approximation”, Math. Oper. Res., 2024, 1–39 (Published online) , arXiv: 2207.04475 ; (Published online) |
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2022 |
8. |
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. Math., 106:suppl. 1 (2022), S23–S27 |
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2020 |
9. |
F. Götze, A. A. Naumov, A. N. Tikhomirov, “Moment Inequalities for Linear and Nonlinear Statistics”, Theory Probab. Appl., 65:1 (2020), 1–16 |
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2018 |
10. |
F. Götze, A. A. Naumov, A. N. Tikhomirov, “Local semicircle law under moment conditions: Stieltjes transform, rigidity and delocalization”, Theory Probab. Appl., 62:1 (2018), 58–83 |
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2015 |
11. |
F. Götze, A. A. Naumov, A. N. Tikhomirov, “Limit theorems for two classes of random matrices with dependent entries”, Theory Probab. Appl., 59:1 (2015), 23–39 |
12. |
A. A. Naumov, “Limit theorems for two classes of random matrices with Gaussian elements”, J. Math. Sci. (N. Y.), 204:1 (2015), 140–147 |
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2010 |
13. |
A. A. Naumov, Teor. Veroyatnost. i Primenen., 55:3 (2010), 616–617 |
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