Princeton University
Computer Science Department

Computer Science 511
Theoretical Machine Learning

Rob Schapire

Spring 2013

 


Directory
General Information | Schedule & Readings | Assignments | Final Project | blackboard

 

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Due

Topic

1

Thursday, Feb. 21

PAC Learning (hint on 2a)

2

Thursday, Feb. 28

Sample size bounds, growth function, VC dimension (hint on 4b)

3

Thursday, Mar. 7

Learning models & Chernoff (hint on 1a; hint on 3)

4

Thursday, Mar. 14

Rademacher & boosting (hint on 3a; hint on 3b)

5

Thursday, Mar. 28

Boosting and SVM's

 

Wednesday, Apr. 10

Final project (proposal only)

6

Thursday, Apr. 11

Lagrange and online learning (hint on 2a)

7

Thursday, Apr. 18

Winnow and Widrow-Hoff

 

Tuesday, May 14
at 12 noon

Final project (final report)