Lecture notes on convergence theory for deterministic gradient descent and stochastic gradient methods under standard assumptions.
A Kurdyka-Lojasiewicz property for stochastic optimization algorithms in a non-convex setting
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Introduction to stochastic gradient methods
Lecture notes on convergence theory for deterministic gradient descent and stochastic gradient methods under standard assumptions.