Sergey Samsonov

Venues

Frequent coauthors

Papers

1. Gaussian Approximation for Two-Timescale Linear Stochastic Approximation
   AAAI 2026 ·

   Bogdan Butyrin

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2. High-Order Error Bounds for Markovian LSA with Richardson-Romberg Extrapolation
   AAAI 2026 ·

   Ilya Levin

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3. Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation
   AAAI 2026 ·

   Askar Tsyganov

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4. Revisiting IPS-based Algorithms for Off-Policy Evaluation of Contextual Bandits
   WWW 2026 ·

   Daria Korovaitceva

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5. Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson-Romberg Extrapolation
   ICLR 2025 ·

   Marina Sheshukova

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6. Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization
   ICLR 2025 ·

   Timofei Gritsaev

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7. Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation
   AISTATS 2025 ·

   Paul Mangold

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8. Revisiting Non-Acyclic GFlowNets in Discrete Environments
   ICML 2025 ·

   Nikita Morozov

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9. Statistical inference for Linear Stochastic Approximation with Markovian Noise
   NeurIPS 2025 · Sergey Samsonov
10. Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
    NeurIPS 2024 · Sergey Samsonov
11. Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability
    COLT 2024 · Sergey Samsonov
12. Queuing dynamics of asynchronous Federated Learning
    AISTATS 2024 ·

    Louis Leconte

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13. SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
    NeurIPS 2024 ·

    Paul Mangold

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