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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

I. Levin

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#machine learning Conference Aug 2025

High-Order Error Bounds for Markovian LSA with Richardson-Romberg Extrapolation

In this paper, we study the bias and high-order error bounds of the Linear Stochastic Approximation (LSA) algorithm with Polyak-Ruppert (PR) averaging under Markovian noise. We focus on the version of the algorithm with constant step size and propose a novel decomposition of the bias via a linearization technique. We a...

I. Levin, Alexey Naumov, Sergey Samsonov · 2 citations
Preprint Aug 2026

Efficient Hypergradient Descent for Inverse Reinforcement Learning

This work shows that, at the inner optimum, the Hessian of the inner objective is proportional to the Fisher information matrix of the policy, yielding a structured Fisher-based hypergradient closely related to Natural Hypergradient Descent.

Nikita Sevriukov, A. Barabanova, Uliana Gagarina et al. · 0 citations

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