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Naumov Aleksei Aleksandrovich

Publications


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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  mathnet;
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  mathnet  isi;
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  mathnet;
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  mathnet  crossref; (Published online)

   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  mathnet  crossref  crossref  elib

   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  mathnet  crossref  crossref  crossref  mathscinet  zmath  isi  elib  scopus

   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  mathnet  crossref  crossref  mathscinet  zmath  isi  elib  scopus

   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  mathnet  crossref  crossref  mathscinet  isi  elib  elib  scopus
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  mathnet  crossref  mathscinet  scopus

   2010
13. A. A. Naumov, Teor. Veroyatnost. i Primenen., 55:3 (2010), 616–617  mathnet  crossref  elib
Full list of publications


© Steklov Math. Inst. of RAS, 2025