Class meeting for 10-605 SGD for MF

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This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall_2017.



Papers Discussed

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