1![Stat 928: Statistical Learning Theory Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham Kakade Stat 928: Statistical Learning Theory Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham Kakade](https://www.pdfsearch.io/img/38b63892ccf7cc96c3e1aba958514b02.jpg) | Add to Reading ListSource URL: stat.wharton.upenn.eduLanguage: English - Date: 2011-01-27 22:12:22
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2![Stat 928: Statistical Learning Theory Lecture: 22 Exponentiated Gradient Descent Instructor: Sham Kakade Stat 928: Statistical Learning Theory Lecture: 22 Exponentiated Gradient Descent Instructor: Sham Kakade](https://www.pdfsearch.io/img/393833a728ffd0e2391d990312419d07.jpg) | Add to Reading ListSource URL: stat.wharton.upenn.eduLanguage: English - Date: 2011-04-18 18:20:03
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3![ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation](https://www.pdfsearch.io/img/10f89d809a7dbc249d5dc6a5ffed194b.jpg) | Add to Reading ListSource URL: nowak.ece.wisc.eduLanguage: English - Date: 2012-03-09 07:33:42
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4![Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email : February 1, 2018 Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email : February 1, 2018](https://www.pdfsearch.io/img/3777842b2789ca090e34cf45873c933b.jpg) | Add to Reading ListSource URL: www.montefiore.ulg.ac.beLanguage: English - Date: 2018-02-28 11:12:49
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5![Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade](https://www.pdfsearch.io/img/133e6b366a18970eb611909b334305f4.jpg) | Add to Reading ListSource URL: stat.wharton.upenn.eduLanguage: English - Date: 2011-04-05 21:10:43
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6![ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 14: Maximum Likelihood and Complexity Regularization Review : Maximum Likelihood Estimation We have n i.i.d observations drawn from an unknown ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 14: Maximum Likelihood and Complexity Regularization Review : Maximum Likelihood Estimation We have n i.i.d observations drawn from an unknown](https://www.pdfsearch.io/img/0c82494a62821307f50a95657db4c827.jpg) | Add to Reading ListSource URL: nowak.ece.wisc.eduLanguage: English - Date: 2012-03-09 07:33:43
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7![Stat 928: Statistical Learning Theory Lecture: 9 Empirical Process Theory and Oracle Inequalities Instructor: Sham Kakade Stat 928: Statistical Learning Theory Lecture: 9 Empirical Process Theory and Oracle Inequalities Instructor: Sham Kakade](https://www.pdfsearch.io/img/f84762e3d6b57198c85816a1bfd8226c.jpg) | Add to Reading ListSource URL: stat.wharton.upenn.eduLanguage: English - Date: 2011-02-15 01:48:41
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8![Stat 928: Statistical Learning Theory Lecture: 23 Online to Batch Conversions Instructor: Sham Kakade Stat 928: Statistical Learning Theory Lecture: 23 Online to Batch Conversions Instructor: Sham Kakade](https://www.pdfsearch.io/img/b64491b713d2df5c97f3489f00581e93.jpg) | Add to Reading ListSource URL: stat.wharton.upenn.eduLanguage: English - Date: 2011-04-18 18:20:33
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9![Stat 928: Statistical Learning Theory Lecture: 24 Growth Functions and the VC dimension Instructor: Sham Kakade Stat 928: Statistical Learning Theory Lecture: 24 Growth Functions and the VC dimension Instructor: Sham Kakade](https://www.pdfsearch.io/img/38d505a672d159bd0d666c413870c568.jpg) | Add to Reading ListSource URL: stat.wharton.upenn.eduLanguage: English - Date: 2011-04-18 18:21:01
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10![Stat 928: Statistical Learning Theory Lecture: 8 Feature Selection in the Non-Orthogonal Case Instructor: Sham Kakade Stat 928: Statistical Learning Theory Lecture: 8 Feature Selection in the Non-Orthogonal Case Instructor: Sham Kakade](https://www.pdfsearch.io/img/dacdc35a679bfa95abb62324d7efac8d.jpg) | Add to Reading ListSource URL: stat.wharton.upenn.eduLanguage: English - Date: 2011-04-12 12:45:49
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