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9.520 - 09/09/2015 - Class 01 - Prof. Tomaso Poggio: The Course at a Glance
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Statistical Learning Theory and Applications - Fall 2015
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- 1 9.520 - 09/09/2015 - Class 01 - Prof. Tomaso Poggio: The Course at a Glance
- 2 9.520 - 09/14/2015 - Class 02 - Prof. Tomaso Poggio: The Learning Problem and Regularization
- 3 9.520 - 09/16/2015 - Class 03 - Carlo Ciliberto & Charlie Frogner: Math Camp
- 4 9.520 - 9/21/2015 - Class 04 - Prof. Lorenzo Rosasco: Reproducing Kernel Hilbert Spaces
- 5 9.520 - 9/23/2015 - Class 05 - Prof. Lorenzo Rosasco - Dictionaries, Feature Maps and Mercer Theorem
- 6 9.520 - 9/28/2015 - Class 06 - Prof. Lorenzo Rosasco - Tikhonov Regularization and the ...
- 7 9.520 - 9/30/2015 - Class 07 - Prof. Lorenzo Rosasco: Logistic Regression and Support ...
- 8 9.520 - 10/05/2015 - Class 08 - Prof. Lorenzo Rosasco: Regularized Least Squares
- 9 9.520 - 10/07/2015 - Class 09 - Prof. Lorenzo Rosasco: Iterative Regularization via Early Stopping
- 10 9.520 - 10/13/2015 - Class 10 - Prof. Lorenzo Rosasco: Sparsity Based Regularization
- 11 9.520 - 10/14/2015 - Class 11 - Prof. Lorenzo Rosasco: Proximal Methods
- 12 9.520 - 10/19/2015 - Class 12 - Prof. Lorenzo Rosasco: Structured Sparsity Regularization
- 13 9.520 - 10/21/2015 - Class 13 - Prof. Lorenzo Rosasco: Multiple Kernel Learning
- 14 9.520 - 10/26/2015 - Class 14 - Charlie Frogner: Generalization Bounds, Intro to Stability
- 15 9.520 - 10/28/2015 - Class 15 - Charlie Frogner: Stability of Tikhonov Regularization
- 16 9.520 - 11/2/2015 - Class 16 - Prof. Lorenzo Rosasco: Consistency, Learnability and Regularization
- 17 9.520 - 11/4/2015 - Class 17 - Prof. Lorenzo Rosasco: On-line Learning
- 18 9.520 - 11/9/2015 - Class 18 - Prof. Lorenzo Rosasco: Manifold Regularization
- 19 9.520 - 11/16/2015 - Class 19 - Prof. Lorenzo Rosasco: Regularization for Multi-Output Learning I
- 20 9.520 - 11/18/2015 - Class 20 - Carlo Ciliberto: Regularization for Multi-Output Learning II
- 21 9.520 - 11/23/2015 - Class 21 - Prof. Lorenzo Rosasco: Learning Data Representation: from Fourier...
- 22 9.520 - 11/25/2015 - Class 22 - Prof. Lorenzo Rosasco: Learning Data Representation: Autoencoders...
- 23 9.520 - 11/25/2015 - Class 23 - Prof. Lorenzo Rosasco: Learning Data Representation...
- 24 9.520 - 12/2/2015 - Class 24 - Prof. Tomaso Poggio: Learning Data Representation: Deep Theory I
- 25 9.520 - 12/7/2015 - Class 25 - Dr. Gemma Roig: Learning Data Representation: DNN Tips and Tricks
- 26 9.520 - 12/9/2015 - Class 26 - Prof. Tomaso Poggio: Learning Data Representation: Deep Theory II
