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MIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015

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9.520 - 10/28/2015 - Class 15 - Charlie Frogner: Stability of Tikhonov Regularization

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9.520 - 10/26/2015 - Class 14 - Charlie Frogner: Generalization Bounds, Intro to Stability

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9.520 - 10/21/2015 - Class 13 - Prof. Lorenzo Rosasco: Multiple Kernel Learning

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9.520 - 10/19/2015 - Class 12 - Prof. Lorenzo Rosasco: Structured Sparsity Regularization

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9.520 - 10/14/2015 - Class 11 - Prof. Lorenzo Rosasco: Proximal Methods

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9.520 - 10/13/2015 - Class 10 - Prof. Lorenzo Rosasco: Sparsity Based Regularization

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9.520 - 09/14/2015 - Class 02 - Prof. Tomaso Poggio: The Learning Problem and Regularization

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9.520 - 09/16/2015 - Class 03 - Carlo Ciliberto & Charlie Frogner: Math Camp

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9.520 - 09/09/2015 - Class 01 - Prof. Tomaso Poggio: The Course at a Glance

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9.520 - 10/07/2015 - Class 09 - Prof. Lorenzo Rosasco: Iterative Regularization via Early Stopping

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9.520 - 9/30/2015 - Class 07 - Prof. Lorenzo Rosasco: Logistic Regression and Support ...

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9.520 - 10/05/2015 - Class 08 - Prof. Lorenzo Rosasco: Regularized Least Squares

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9.520 - 9/28/2015 - Class 06 - Prof. Lorenzo Rosasco - Tikhonov Regularization and the ...

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9.520 - 9/23/2015 - Class 05 - Prof. Lorenzo Rosasco - Dictionaries, Feature Maps and Mercer Theorem

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9.520 - 9/21/2015 - Class 04 - Prof. Lorenzo Rosasco: Reproducing Kernel Hilbert Spaces

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