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AdaGrad (for adaptive gradient algorithm) is an enhanced stochastic gradient descent algorithm that automatically determines a per-parameter learning rate.

1 vote

Momentum vs Polyak averaging

For your second question, I just found a related paper (2020 Granziol D, Wan X, Roberts S) Gadam: Combining Adaptivity with Iterate Averaging Gives Greater Generalisation that probably provides an ans …
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