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Naumov Aleksei Aleksandrovich
Naumov Aleksei Aleksandrovich
Doctor of Science (2022)


Birth date: 22.08.1988
E-mail: ,
Keywords: high dimensional probability, statistics, machine learning, random matrices, reinforcement learning

Subject:

high dimensional probability, statistics, machine learning, random matrices, reinforcement learning


Main publications:
  1. Götze F., Naumov A., Spokoiny V., Ulyanov V. V., “Large ball probability, Gaussian comparison and anti-concentration”, Bernoulli, 15:4(A) (2019), 2538-2563
  2. Naumov A., Spokoiny V., Ulyanov V. V., “Bootstrap confidence sets for spectral projectors of sample covariance”, Probability theory and related fields, 174:3-4 (2019), 1091-1132
  3. Goetze F., Naumov A.A., Tikhomirov A., Timushev D., “On the local semicircular law for Wigner ensembles”, Bernoulli, 24:3 (2018), 2358-2400
  4. Kaledin M., Moulines E., Naumov A., Tadic V., Wai H., “Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise”, Proceedings of Thirty Third Conference on Learning Theory, Proceedings of Machine Learning Research, 125, PMLR, 2020, 2144-2203
  5. Tiapkin D., Belomestny D., Moulines E., Naumov A., Samsonov S., Tang Y., Valko M., Menard P., “From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses”, Proceedings of the 39th International Conference on Machine Learning, Proceedings of Machine Learning Research, 162, PMLR, 2022, 21380-21431

Full list of scientific publications

Presentations in Math-Net.Ru

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