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Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation.

Michael SuckerJalal FadiliPeter Ochs
Published in: CoRR (2024)
Keyphrases
  • theoretical considerations
  • distribution free
  • learning algorithm
  • learning process
  • learning tasks
  • pac bayesian
  • neural network
  • feature selection
  • reinforcement learning