Lipschitz Adaptivity with Multiple Learning Rates in Online Learning.

COLT, (2019): 2490-2511

Cited by: 3|Views12
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Abstract:

We aim to design adaptive online learning algorithms that take advantage of any special structure that might be present in the learning task at hand, with as little manual tuning by the user as possible. A fundamental obstacle that comes up in the design of such adaptive algorithms is to calibrate a so-called step-size or learning rate hy...More

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