Alexey Naumov

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

   Marina Sheshukova

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4. Statistical inference for Linear Stochastic Approximation with Markovian Noise
   NeurIPS 2025 ·

   Sergey Samsonov

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5. Demonstration-Regularized RL
   ICLR 2024 ·

   Daniil Tiapkin

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6. Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
   NeurIPS 2024 ·

   Sergey Samsonov

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7. Generative Flow Networks as Entropy-Regularized RL
   AISTATS 2024 ·

   Daniil Tiapkin

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8. Group and Shuffle: Efficient Structured Orthogonal Parametrization
   NeurIPS 2024 ·

   Mikhail Gorbunov

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9. Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability
   COLT 2024 ·

   Sergey Samsonov

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

    Paul Mangold

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