Princeton University
Computer Science Department

Computer Science 511
Theoretical Machine Learning

Spring 2019

 


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

Note that, for future, unassigned homeworks, the dates below are only tentative and are subject to change.

Regular homeworks can be submitted either electronically using TigerFile, or in hard copy.  Here are more details.

#

Due

Topic

TA(s) in charge

1

Wednesday, Feb. 20

PAC Learning (hint on 2a)

submit using TigerFile

Sobhan

2

Wednesday, Feb. 27

Sample size bounds, growth function, VC dimension (hint on 2; hint on 4b; hint on 5b)

submit using TigerFile

Zhiyuan

3

Monday, March 11

Learning models & Chernoff (hint on 1a; hint on 1b; hint on 2)

submit using TigerFile

Yichen

4

Monday, March 25

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

submit using TigerFile

Sobhan

5

Tuesday, April 2

Margins & SVM's (hint on 1b; hint on 1c; hint on 4)

submit using TigerFile

Zhiyuan

Friday, April 5

Final project (proposal only)

submit using TigerFile

6

Wednesday, April 10

Kernels and online learning (hint on 2a)

submit using TigerFile

Yichen

7 "lite"

Tuesday, April 23

Online learning and gradient descent

submit using TigerFile

Zhiyuan

Tuesday, May 7

Final project (final report)

submit using TigerFile

8

Tuesday, May 14

Log-loss and games (hint on 1a; hint on 2 [updated]; hint on 3b)

submit using TigerFile

Sobhan & Yichen