Alexey Naumov
National Research University Higher School of Economics
H-index: 13
Europe-Russia
Top articles of Alexey Naumov
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Generative flow networks as entropy-regularized rl | Daniil Tiapkin Nikita Morozov Alexey Naumov Dmitry P Vetrov | 2024/4/18 | |
Finite-Time High-Probability Bounds for Polyak–Ruppert Averaged Iterates of Linear Stochastic Approximation | Mathematics of Operations Research | Alain Durmus Eric Moulines Alexey Naumov Sergey Samsonov | 2024/4/16 |
Probability and moment inequalities for additive functionals of geometrically ergodic Markov chains | Journal of Theoretical Probability | Alain Durmus Eric Moulines Alexey Naumov Sergey Samsonov | 2024/2/18 |
SCAFFLSA: Quantifying and Eliminating Heterogeneity Bias in Federated Linear Stochastic Approximation and Temporal Difference Learning | arXiv preprint arXiv:2402.04114 | Paul Mangold Sergey Samsonov Safwan Labbi Ilya Levin Reda Alami | 2024/2/6 |
Theoretical guarantees for neural control variates in MCMC | Mathematics and Computers in Simulation | Denis Belomestny Artur Goldman Alexey Naumov Sergey Samsonov | 2024/2/3 |
Rates of convergence for density estimation with generative adversarial networks | Journal of Machine Learning Research | Nikita Puchkin Sergey Samsonov Denis Belomestny Eric Moulines Alexey Naumov | 2024 |
Model-free Posterior Sampling via Learning Rate Randomization | Daniil Tiapkin Denis Belomestny Daniele Calandriello Eric Moulines Remi Munos | 2023 | |
Finite-sample analysis of the Temporal Difference Learning | arXiv preprint arXiv:2310.14286 | Sergey Samsonov Daniil Tiapkin Alexey Naumov Eric Moulines | 2023/10/22 |
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities | Aleksandr Beznosikov Sergey Samsonov Marina Sheshukova Alexander Gasnikov Alexey Naumov | 2023 | |
Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms | arXiv preprint arXiv:2304.03056 | Denis Belomestny Pierre Menard Alexey Naumov Daniil Tiapkin Michal Valko | 2023/4/6 |
Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations | Neural Networks | Denis Belomestny Alexey Naumov Nikita Puchkin Sergey Samsonov | 2023/4/1 |
Fast Rates for Maximum Entropy Exploration | Daniil Tiapkin Denis Belomestny Daniele Calandriello Eric Moulines Remi Munos | 2023/3/14 | |
Rosenthal-type inequalities for linear statistics of Markov chains | arXiv preprint arXiv:2303.05838 | Alain Durmus Eric Moulines Alexey Naumov Sergey Samsonov Marina Sheshukova | 2023/3/10 |
Local-Global MCMC kernels: the best of both worlds | Sergey Samsonov Evgeny Lagutin Marylou Gabrié Alain Durmus Alexey Naumov | 2022 | |
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees | Daniil Tiapkin Denis Belomestny Daniele Calandriello Éric Moulines Remi Munos | 2022 | |
Development of applied solutions based on artificial intelligence for technological security control | Doklady Mathematics | Aleksei Aleksandrovich Masyutin Andrey Vladimirovich Savchenko Aleksei Aleksandrovich Naumov Sergei Vladimirovich Samsonov DN Tiapkin | 2022/12 |
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses | Daniil Tiapkin Denis Belomestny Eric Moulines Alexey Naumov Sergey Samsonov | 2022/5/16 | |
On Dirichlet boundary crossing | Alexey Naumov | 2022 | |
On the stability of random matrix product with markovian noise: Application to linear stochastic approximation and td learning | Conference on Learning Theory | Alain Durmus Eric Moulines Alexey Naumov Sergey Samsonov Hoi-To Wai | 2021 |
Variance reduction for dependent sequences with applications to stochastic gradient MCMC | SIAM/ASA Journal on Uncertainty Quantification | Denis Belomestny Leonid Iosipoi Eric Moulines Alexey Naumov Sergey Samsonov | 2021 |
Co-Authors
