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Sergey Samsonov

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

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Venues

AAAI ×3NeurIPS ×3AISTATS ×2ICLR ×2COLT ×1ICML ×1WWW ×1

Frequent coauthors

Alexey Naumov
×7
Eric Moulines
×7
Marina Sheshukova
×3
Daniil Tiapkin
×3
Ilya Levin
×2
Evgeny Frolov
×2
Alain Oliviero Durmus
×2
Nikita Morozov
×2
Paul Mangold
×2
Bogdan Butyrin
×1
Artemy Rubtsov
×1
Vladimir V. Ulyanov
×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. Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation
    AAAI 2026 ·
    Askar Tsyganov
    ,
    Evgeny Frolov
    , Sergey Samsonov,
    Maxim Rakhuba
  4. Revisiting IPS-based Algorithms for Off-Policy Evaluation of Contextual Bandits
    WWW 2026 ·
    Daria Korovaitceva
    ,
    Marina Sheshukova
    ,
    Evgeny Frolov
    , Sergey Samsonov
  5. 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
  6. Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization
    ICLR 2025 ·
    Timofei Gritsaev
    ,
    Nikita Morozov
    , Sergey Samsonov,
    Daniil Tiapkin
  7. Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation
    AISTATS 2025 ·
    Paul Mangold
    ,
    Alain Oliviero Durmus
    ,
    Aymeric Dieuleveut
    , Sergey Samsonov,
    Eric Moulines
  8. Revisiting Non-Acyclic GFlowNets in Discrete Environments
    ICML 2025 ·
    Nikita Morozov
    ,
    Ian Maksimov
    ,
    Daniil Tiapkin
    , Sergey Samsonov
  9. Statistical inference for Linear Stochastic Approximation with Markovian Noise
    NeurIPS 2025 · Sergey Samsonov,
    Marina Sheshukova
    ,
    Eric Moulines
    ,
    Alexey Naumov
  10. 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
  11. Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability
    COLT 2024 · Sergey Samsonov,
    Daniil Tiapkin
    ,
    Alexey Naumov
    ,
    Eric Moulines
  12. Queuing dynamics of asynchronous Federated Learning
    AISTATS 2024 ·
    Louis Leconte
    ,
    Matthieu Jonckheere
    , Sergey Samsonov,
    Eric Moulines
  13. 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