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Theoretical Machine Learning

COS 511

1224
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Can the mechanism of learning be automated and implemented by a machine? In this course we formally define and study various models that have been proposed for learning. The course presents and contrasts the statistical, computational and game-theoretic models for learning. Likely topics include: intro to statistical learning theory and generalization; learning in adversarial settings and the on-line learning model; using convex optimization to model and solve learning problems; learning with partial observability; boosting; reinforcement learning and control; introduction to the theory of deep learning.
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Section L01