Deep Gaussian process with multitask and transfer learning for performance optimization.
Wissam M. Sid-LakhdarMohsen AznavehPiotr LuszczekJack J. DongarraPublished in: HPEC (2022)
Keyphrases
- transfer learning
- multi task
- gaussian process
- gaussian processes
- learning tasks
- multi task learning
- multitask learning
- labeled data
- semi supervised
- active learning
- machine learning
- multiple tasks
- reinforcement learning
- semi supervised learning
- regression model
- collaborative filtering
- model selection
- text categorization
- text classification
- learning algorithm
- latent variables
- bayesian framework
- approximate inference
- hyperparameters
- machine learning algorithms
- learning problems
- maximum likelihood
- high dimensional
- feature selection