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A critical evaluation of stochastic algorithms for convex optimization.

Simon WieslerAlexander RichardRalf SchlüterHermann Ney
Published in: ICASSP (2013)
Keyphrases
  • convex optimization
  • convex optimization problems
  • interior point
  • computational complexity
  • low rank
  • interior point methods
  • worst case
  • machine learning
  • reinforcement learning
  • convex relaxation
  • low rank matrix