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A modular analysis of adaptive (non-)convex optimization: Optimism, composite objectives, variance reduction, and variational bounds.

Pooria JoulaniAndrás GyörgyCsaba Szepesvári
Published in: Theor. Comput. Sci. (2020)
Keyphrases
  • convex optimization
  • variance reduction
  • upper bound
  • lower bound
  • markov random field
  • image segmentation
  • reinforcement learning
  • total variation
  • convex optimization problems