Difference between revisions of "Class meeting for 10-605 SGD for MF"
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* [http://www.mpi-inf.mpg.de/~rgemulla/publications/gemulla11dsgd.pdf Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent], Gemulla et al, KDD 2011. | * [http://www.mpi-inf.mpg.de/~rgemulla/publications/gemulla11dsgd.pdf Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent], Gemulla et al, KDD 2011. | ||
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| + | === Things to Remember === | ||
| + | |||
| + | * Definition of matrix factorization | ||
| + | * Common applications of matrix factorization | ||
| + | * Loss functions for matrix factorization that are appropriate for collaborative filtering | ||
| + | * Algorithm and updates for SGD implementation of matrix factorization | ||
| + | * Definitions: stratum, ... | ||
Revision as of 11:00, 16 October 2015
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall_2015.
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
- Loss functions for matrix factorization that are appropriate for collaborative filtering
- Algorithm and updates for SGD implementation of matrix factorization
- Definitions: stratum, ...
