PPaperPicks

Alexey Naumov

10 papers at tracked venues · 8 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

NeurIPS ×4AAAI ×2ICLR ×2AISTATS ×1COLT ×1

Frequent coauthors

Sergey Samsonov
×7
Eric Moulines
×6
Daniil Tiapkin
×3
Ilya Levin
×2
Marina Sheshukova
×2
Denis Belomestny
×2
Bogdan Butyrin
×1
Artemy Rubtsov
×1
Vladimir V. Ulyanov
×1
Alain Oliviero Durmus
×1
Daniele Calandriello
×1
Pierre Perrault
×1

Papers

  1. Gaussian Approximation for Two-Timescale Linear Stochastic Approximation
    AAAI 2026 ·
    Bogdan Butyrin
    ,
    Artemy Rubtsov
    , Alexey Naumov,
    Vladimir V. Ulyanov
    ,
    Sergey Samsonov
  2. High-Order Error Bounds for Markovian LSA with Richardson-Romberg Extrapolation
    AAAI 2026 ·
    Ilya Levin
    , Alexey Naumov,
    Sergey Samsonov
  3. Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson-Romberg Extrapolation
    ICLR 2025 ·
    Marina Sheshukova
    ,
    Denis Belomestny
    ,
    Alain Oliviero Durmus
    ,
    Eric Moulines
    , Alexey Naumov,
    Sergey Samsonov
  4. Statistical inference for Linear Stochastic Approximation with Markovian Noise
    NeurIPS 2025 ·
    Sergey Samsonov
    ,
    Marina Sheshukova
    ,
    Eric Moulines
    , Alexey Naumov
  5. Demonstration-Regularized RL
    ICLR 2024 ·
    Daniil Tiapkin
    ,
    Denis Belomestny
    ,
    Daniele Calandriello
    ,
    Eric Moulines
    , Alexey Naumov,
    Pierre Perrault
    ,
    Michal Valko
    ,
    Pierre Ménard
  6. Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
    NeurIPS 2024 ·
    Sergey Samsonov
    ,
    Eric Moulines
    ,
    Qi-Man Shao
    ,
    Zhuo-Song Zhang
    , Alexey Naumov
  7. Generative Flow Networks as Entropy-Regularized RL
    AISTATS 2024 ·
    Daniil Tiapkin
    ,
    Nikita Morozov
    , Alexey Naumov,
    Dmitry P. Vetrov
  8. Group and Shuffle: Efficient Structured Orthogonal Parametrization
    NeurIPS 2024 ·
    Mikhail Gorbunov
    ,
    Nikolay Yudin
    ,
    Vera Soboleva
    ,
    Aibek Alanov
    , Alexey Naumov,
    Maxim V. Rakhuba
  9. Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability
    COLT 2024 ·
    Sergey Samsonov
    ,
    Daniil Tiapkin
    , Alexey Naumov,
    Eric Moulines
  10. SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
    NeurIPS 2024 ·
    Paul Mangold
    ,
    Sergey Samsonov
    ,
    Safwan Labbi
    ,
    Ilya Levin
    ,
    Réda Alami
    , Alexey Naumov,
    Eric Moulines