| Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise M Kaledin, E Moulines, A Naumov, V Tadic, HT Wai Conference on Learning Theory 125, 2144-2203, 2020 | 84 | 2020 |
| Large ball probabilities, Gaussian comparison and anti-concentration F Götze, A Naumov, V Spokoiny, V Ulyanov Bernoulli 25 (4A), 2538-2563, 2019 | 56 | 2019 |
| Limit theorems for two classes of random matrices with dependent entries F Götze, AA Naumov, AN Tikhomirov Theory of Probability & Its Applications 59 (1), 23-39, 2015 | 56* | 2015 |
| Bootstrap confidence sets for spectral projectors of sample covariance A Naumov, V Spokoiny, V Ulyanov Probability Theory and Related Fields 174 (3), 1091-1132, 2019 | 48 | 2019 |
| Elliptic law for real random matrices A Naumov arXiv preprint arXiv:1201.1639, 2012 | 41 | 2012 |
| On the local semicircular law for Wigner ensembles F Götze, A Naumov, A Tikhomirov, D Timushev Bernoulli 24 (3), 2358-2400, 2018 | 37 | 2018 |
| Variance reduction for Markov chains with application to MCMC D Belomestny, L Iosipoi, E Moulines, A Naumov, S Samsonov Statistics and Computing 30, 973-997, 2020 | 28 | 2020 |
| Local semicircle law under moment conditions: The stieltjes transform, rigidity, and delocalization F Götze, AA Naumov, AN Tikhomirov Theory of Probability & Its Applications 62 (1), 58-83, 2018 | 25* | 2018 |
| On the stability of random matrix product with markovian noise: Application to linear stochastic approximation and td learning A Durmus, E Moulines, A Naumov, S Samsonov, HT Wai Conference on Learning Theory 134, 1711-1752, 2021 | 24 | 2021 |
| Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize A Durmus, E Moulines, A Naumov, S Samsonov, K Scaman, HT Wai Advances in Neural Information Processing Systems 34, 2021 | 22 | 2021 |
| Finite-Time High-Probability Bounds for Polyak–Ruppert Averaged Iterates of Linear Stochastic Approximation A Durmus, E Moulines, A Naumov, S Samsonov Mathematics of Operations Research, 2024 | 17 | 2024 |
| Local-Global MCMC kernels: the best of both worlds S Samsonov, E Lagutin, M Gabrié, A Durmus, A Naumov, E Moulines Advances in Neural Information Processing Systems 35, 2022 | 17* | 2022 |
| On minimal singular values of random matrices with correlated entries F Götze, A Naumov, A Tikhomirov Random Matrices: Theory and Applications 4 (02), 1550006, 2015 | 17 | 2015 |
| Distribution of linear statistics of singular values of the product of random matrices F Götze, A Naumov, A Tikhomirov Bernoulli 23 (4B), 3067-3113, 2017 | 16 | 2017 |
| Rates of convergence for density estimation with generative adversarial networks N Puchkin, S Samsonov, D Belomestny, E Moulines, A Naumov Journal of Machine Learning Research 25 (29), 1-47, 2024 | 15* | 2024 |
| From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses D Tiapkin, D Belomestny, E Moulines, A Naumov, S Samsonov, Y Tang, ... International Conference on Machine Learning 162, 21380-21431, 2022 | 15 | 2022 |
| Local semicircle law under fourth moment condition F Götze, A Naumov, A Tikhomirov Journal of Theoretical Probability 33 (3), 1327-1362, 2020 | 15 | 2020 |
| Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations D Belomestny, A Naumov, N Puchkin, S Samsonov Neural Networks 161, 242-253, 2023 | 14 | 2023 |
| First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities A Beznosikov, S Samsonov, M Sheshukova, A Gasnikov, A Naumov, ... Advances in Neural Information Processing Systems 37, 2023 | 14 | 2023 |
| On a Generalization of the Elliptic Law for Random Matrices F Götze, A Naumov, A Tikhomirov ACTA PHYSICA POLONICA B 46 (9), 1737-1745, 2015 | 14* | 2015 |
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
