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most citedGeneralisation under gradient descent via deterministic PAC-Bayes

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stat.ML2021

Time-independent Generalization Bounds for SGLD in Non-convex Settings

Tyler Farghly, Patrick Rebeschini

We establish generalization error bounds for stochastic gradient Langevin dynamics (SGLD) with constant learning rate under the assumptions of dissipativity and smoothness, a setti…