Vowpal Wabbit

author: Matt Hoffman, Adobe Systems Incorporated
author: Daniel Hsu, Microsoft Research New England, Microsoft Research
author: Nikos Karampatziakis, Department of Computer Science, Cornell University
author: John Langford, Microsoft Research
published: Jan. 13, 2011, recorded: December 2010, views: 1938

Slides

Slides
0:00	Vowpal Wabbit 5.0, Yahoo! Research
0:23	Why VW?
2:16	RCV1 data set
5:39	The tutorial plan
6:39	The basic learning algorithm (classic)
7:43	Input format
9:45	Valid input examples
14:40	Example Input Options
15:55	Valid input examples
16:03	Example Input Options
16:50	- RCV1 Data set (missing video example)
18:55	Example Output Options
22:11	Example Manipulation Options
26:19	Update Rule Options
30:16	- Question
30:40	Weight Options
31:28	Usefull Parallelization Options
32:57	Experimental Parallelization Options
34:23	Conjugate Gradient Options
36:35	"I have a better loss function"
36:56	"My online learning algorithm is better"
38:14	Goals for the Future Development

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Lecture popularity: You need to login to cast your vote.