Alexey Naumov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Gaussian Approximation for Two-Timescale Linear Stochastic Approximation. | Bogdan Butyrin, Artemy Rubtsov, Alexey Naumov, Vladimir V. Ulyanov, Sergey Samsonov |
| 2026 | AAAI | High-Order Error Bounds for Markovian LSA with Richardson-Romberg Extrapolation. | Ilya Levin, Alexey Naumov, Sergey Samsonov |
| 2025 | ICLR | Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson-Romberg Extrapolation. | Marina Sheshukova, Denis Belomestny, Alain Oliviero Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov |
| 2024 | AISTATS | Generative Flow Networks as Entropy-Regularized RL. | Daniil Tiapkin, Nikita Morozov, Alexey Naumov, Dmitry P. Vetrov |
| 2024 | COLT | Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability. | Sergey Samsonov, Daniil Tiapkin, Alexey Naumov, Eric Moulines |
| 2024 | ICLR | Demonstration-Regularized RL. | Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Mnard |
| 2023 | ICML | Fast Rates for Maximum Entropy Exploration. | Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rmi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Mnard |
| 2022 | ICML | From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses. | Daniil Tiapkin, Denis Belomestny, Eric Moulines, Alexey Naumov, Sergey Samsonov, Yunhao Tang, Michal Valko, Pierre Mnard |
| 2021 | COLT | On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning. | Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Hoi-To Wai |
| 2020 | COLT | Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise. | Maxim Kaledin, Eric Moulines, Alexey Naumov, Vladislav Tadic, Hoi-To Wai |