Adversarial Online Learning with noise
Alon Resler · Yishay Mansour

Thu Jun 13th 10:05 -- 10:10 AM @ Room 102

We present and study models of adversarial online learning where the feedback observed by the learner is noisy, and the feedback is either full information feedback or bandit feedback. Specifically, we consider binary losses xored with the noise, which is a Bernoulli random variable. We consider both a constant noise rate and a variable noise rate. Our main results are tight regret bounds for learning with noise in the adversarial online learning model.

Author Information

Alon Resler (Tel Aviv University)
Yishay Mansour (Google and Tel Aviv University)

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