Class meeting for 10-405 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 10-405 in Spring 2018.




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 (aka "diagonal"), interchangable steps