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Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems.

Younghyun ChoJames Weldon DemmelMichal DerezinskiHaoyun LiHengrui LuoMichael W. MahoneyRiley J. Murray
Published in: CoRR (2023)
Keyphrases
  • regression problems
  • learning algorithm
  • linear regression
  • genetic programming
  • theoretical analysis
  • benchmark datasets
  • high dimensional
  • prior knowledge
  • machine learning algorithms
  • incremental learning