Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates.

Abhishek Gupta Ray Lim Chin Chun Ooi Yew-Soon Ong

Published in: SSCI (2022)

Keyphrases

gaussian process
regression model
bayesian framework
model selection
latent variables
approximate inference
semi supervised
transfer learning
regret bounds
decision trees
hyperparameters
upper bound
supervised learning
maximum a posteriori