Scalable Hyperparameter Optimization with Lazy Gaussian Processes.

Raju Ram Sabine Müller Franz-Josef Pfreundt Nicolas R. Gauger Janis Keuper

Published in: CoRR (2020)

Keyphrases

gaussian processes
gaussian process
gaussian process regression
covariance function
multi task learning
human pose estimation
preference learning
multi task
probability distribution
hyperparameters
machine learning
model selection