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Generalization Guarantees via Algorithm-dependent Rademacher Complexity.

Sarah SachsTim van ErvenLiam HodgkinsonRajiv KhannaUmut Simsekli
Published in: CoRR (2023)
Keyphrases
  • learning algorithm
  • objective function
  • computational complexity
  • k means
  • theoretical analysis
  • error bounds
  • decision trees
  • active learning
  • probabilistic model
  • worst case