Difference between revisions of "Class meeting for 10-605 SGD for MF"
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| − | * [http://www.cs.cmu.edu/~wcohen/10-605/matrix-factorization-via-distributed-sgd.pptx - Powerpoint] | + | * [http://www.cs.cmu.edu/~wcohen/10-605/matrix-factorization-via-distributed-sgd.pptx Matrix Factorization via SGD- Powerpoint] |
* [http://www.cs.cmu.edu/~wcohen/10-605/2016/matrix-factorization-via-distributed-sgd.pdf Matrix Factorization via SGD - PDF] | * [http://www.cs.cmu.edu/~wcohen/10-605/2016/matrix-factorization-via-distributed-sgd.pdf Matrix Factorization via SGD - PDF] | ||
Revision as of 14:09, 9 October 2017
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall_2016.
Slides
Quiz
Papers Discussed
- Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent, Gemulla et al, KDD 2011.
Things to Remember
- Definition of matrix factorization
- Common applications of matrix factorization, and how they map into the MF problem
- Loss functions for matrix factorization that are appropriate for collaborative filtering
- Algorithm and updates for SGD implementation of matrix factorization
- dSGD algorithm - what is done in parallel and what is done sequentially
- Definitions: stratum, interchangable steps, diagonal
