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Stochastic Approximation

Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise
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Machine Learning Stochastic Approximation 🏢 Univ. Grenoble Alpes and Inria
New method quantifies & reduces bias in constant-step stochastic approximation algorithms with Markovian noise, improving accuracy and efficiency.