1:19:18 9.520 - 09/14/2015 - Class 02 - Prof. Tomaso Poggio: The Learning Problem and Regularization MITCBMM
1:27:37 9.520 - 9/21/2015 - Class 04 - Prof. Lorenzo Rosasco: Reproducing Kernel Hilbert Spaces MITCBMM
1:29:11 9.520 - 9/23/2015 - Class 05 - Prof. Lorenzo Rosasco - Dictionaries, Feature Maps and Mercer Theorem MITCBMM
1:26:27 9.520 - 9/28/2015 - Class 06 - Prof. Lorenzo Rosasco - Tikhonov Regularization and the ... MITCBMM
1:29:08 9.520 - 9/30/2015 - Class 07 - Prof. Lorenzo Rosasco: Logistic Regression and Support ... MITCBMM
1:28:57 9.520 - 10/07/2015 - Class 09 - Prof. Lorenzo Rosasco: Iterative Regularization via Early Stopping MITCBMM
1:28:46 9.520 - 10/19/2015 - Class 12 - Prof. Lorenzo Rosasco: Structured Sparsity Regularization MITCBMM
59:18 9.520 - 10/26/2015 - Class 14 - Charlie Frogner: Generalization Bounds, Intro to Stability MITCBMM
1:08:18 9.520 - 10/28/2015 - Class 15 - Charlie Frogner: Stability of Tikhonov Regularization MITCBMM
1:28:35 9.520 - 11/2/2015 - Class 16 - Prof. Lorenzo Rosasco: Consistency, Learnability and Regularization MITCBMM
1:30:01 9.520 - 11/16/2015 - Class 19 - Prof. Lorenzo Rosasco: Regularization for Multi-Output Learning I MITCBMM
1:34:36 9.520 - 11/18/2015 - Class 20 - Carlo Ciliberto: Regularization for Multi-Output Learning II MITCBMM
1:21:07 9.520 - 11/23/2015 - Class 21 - Prof. Lorenzo Rosasco: Learning Data Representation: from Fourier... MITCBMM
1:31:12 9.520 - 11/25/2015 - Class 22 - Prof. Lorenzo Rosasco: Learning Data Representation: Autoencoders... MITCBMM
1:31:33 9.520 - 11/25/2015 - Class 23 - Prof. Lorenzo Rosasco: Learning Data Representation... MITCBMM
1:24:46 9.520 - 12/2/2015 - Class 24 - Prof. Tomaso Poggio: Learning Data Representation: Deep Theory I MITCBMM
1:30:29 9.520 - 12/7/2015 - Class 25 - Dr. Gemma Roig: Learning Data Representation: DNN Tips and Tricks MITCBMM
1:35:13 9.520 - 12/9/2015 - Class 26 - Prof. Tomaso Poggio: Learning Data Representation: Deep Theory II MITCBMM
