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Tamir Hazan

Tamir Hazan is Assistant Professor at Technion, Israel Institute of Technology.

Titles by This Editor

In nearly all machine learning, decisions must be made given current knowledge. Surprisingly, making what is believed to be the best decision is not always the best strategy, even when learning in a supervised learning setting. An emerging body of work on learning under different rules applies perturbations to decision and learning procedures. These methods provide simple and highly efficient learning rules with improved theoretical guarantees.