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Primal Method for ERM with Flexible Mini-batching Schemes and Non-convex
  Losses

Primal Method for ERM with Flexible Mini-batching Schemes and Non-convex Losses

7 June 2015
Dominik Csiba
Peter Richtárik
ArXivPDFHTML

Papers citing "Primal Method for ERM with Flexible Mini-batching Schemes and Non-convex Losses"

2 / 2 papers shown
Title
Federated Optimization: Distributed Machine Learning for On-Device
  Intelligence
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
Jakub Konecný
H. B. McMahan
Daniel Ramage
Peter Richtárik
FedML
17
1,872
0
08 Oct 2016
Robust Shift-and-Invert Preconditioning: Faster and More Sample
  Efficient Algorithms for Eigenvector Computation
Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation
Chi Jin
Sham Kakade
Cameron Musco
Praneeth Netrapalli
Aaron Sidford
12
42
0
29 Oct 2015
1