Online Learning: Stochastic, Constrained, and Smoothed Adversaries

Learning theory has largely focused on two main learning scenarios: the classical statistical setting where instances are drawn i.i.d. from a fixed distribution, and the adversarial scenario whereby at every time step the worst instance is revealed to the player... (read more)

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