| 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 | 22 | 2020 |
| 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, 1711-1752, 2021 | 17 | 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, 30063-30074, 2021 | 12 | 2021 |
| From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses D Tiapkin, D Belomestny, É Moulines, A Naumov, S Samsonov, Y Tang, ... International Conference on Machine Learning, 21380-21431, 2022 | 10 | 2022 |
| Variance reduction for dependent sequences with applications to stochastic gradient MCMC D Belomestny, L Iosipoi, E Moulines, A Naumov, S Samsonov SIAM/ASA Journal on Uncertainty Quantification 9 (2), 507-535, 2021 | 9 | 2021 |
| 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, 5178-5193, 2022 | 8* | 2022 |
| Rates of convergence for density estimation with GANs D Belomestny, E Moulines, A Naumov, N Puchkin, S Samsonov arXiv preprint arXiv:2102.00199, 2021 | 8* | 2021 |
| Variance reduction for additive functionals of Markov chains via martingale representations D Belomestny, E Moulines, S Samsonov Statistics and Computing 32 (1), 1-22, 2022 | 6 | 2022 |
| Finite-time High-probability Bounds for Polyak-Ruppert Averaged Iterates of Linear Stochastic Approximation A Durmus, E Moulines, A Naumov, S Samsonov arXiv preprint arXiv:2207.04475, 2022 | 4 | 2022 |
| First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities A Beznosikov, S Samsonov, M Sheshukova, A Gasnikov, A Naumov, ... arXiv preprint arXiv:2305.15938, 2023 | 3 | 2023 |
| 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 | 3 | 2023 |
| Rosenthal-type inequalities for linear statistics of Markov chains A Durmus, E Moulines, A Naumov, S Samsonov, M Sheshukova arXiv preprint arXiv:2303.05838, 2023 | 2 | 2023 |
| Br-snis: bias reduced self-normalized importance sampling G Cardoso, S Samsonov, A Thin, E Moulines, J Olsson Advances in Neural Information Processing Systems 35, 716-729, 2022 | 2 | 2022 |
| Probability and moment inequalities for additive functionals of geometrically ergodic Markov chains A Durmus, E Moulines, A Naumov, S Samsonov arXiv preprint arXiv:2109.00331, 2021 | 2 | 2021 |
| Estimation of the second moment based on rounded data SV Samsonov, NG Ushakov, VG Ushakov Journal of Mathematical Sciences 237, 819-825, 2019 | 2 | 2019 |
| Finite-Sample Analysis of the Temporal Difference Learning S Samsonov, D Tiapkin, A Naumov, E Moulines arXiv preprint arXiv:2310.14286, 2023 | | 2023 |
| Theoretical guarantees for neural control variates in MCMC D Belomestny, A Goldman, A Naumov, S Samsonov arXiv preprint arXiv:2304.01111, 2023 | | 2023 |
| Model-free policy evaluation in Reinforcement Learning via upper solutions D Belomestny, I Levin, E Moulines, A Naumov, S Samsonov, V Zorina arXiv preprint arXiv:2105.02135, 2021 | | 2021 |
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesПодтвержден адрес электронной почты в домене polytechnique.edu
