Solving Kernel Ridge Regression with Gradient-Based Optimization Methods.

Oskar Allerbo Rebecka Jörnsten

Published in: CoRR (2023)

Keyphrases

optimization methods
kernel ridge regression
optimization method
simulated annealing
optimization problems
stochastic methods
gradient boosting
kernel methods
parameter selection
convex relaxation
genetic algorithm
inverse problems
neural network
bayesian networks
evolutionary algorithm