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On the Improved Rates of Convergence for Matérn-Type Kernel Ridge Regression with Application to Calibration of Computer Models.

Rui TuoYan WangC. F. Jeff Wu
Published in: SIAM/ASA J. Uncertain. Quantification (2020)
Keyphrases
  • rates of convergence
  • kernel ridge regression
  • gradient boosting
  • probabilistic model
  • least squares
  • genetic programming
  • bayesian framework
  • convex optimization