Statistical inference for Linear Stochastic Approximation with Markovian Noise

Neural Information Processing Systems 

In this paper we derive non-asymptotic Berry-Esseen bounds for Polyak-Ruppert averaged iterates of the Linear Stochastic Approximation (LSA) algorithm driven by the Markovian noise.

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