SGD's stationary distribution is Boltzmann-Gibbs with temperature equal to step-size, concentrating exponentially on minimum-energy critical points.
Stochastic modified equations and dynamics of stochastic gradient algorithms I: Mathematical foundations.Journal of Machine Learning Research, 20(40):1–47, 2019
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What is the long-run distribution of stochastic gradient descent? A large deviations analysis
SGD's stationary distribution is Boltzmann-Gibbs with temperature equal to step-size, concentrating exponentially on minimum-energy critical points.