Hyperparameter Optimization for Randomized Algorithms: A Case Study for Random Features.

Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic

Published in: CoRR (2024)

Keyphrases

randomized algorithms
feature vectors
feature extraction
lower bound
optimization problems
genetic algorithm
evolutionary algorithm
feature set
linear programming
bayesian framework
approximation algorithms