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Found 2 papers, 1 papers with code
Scalable Meta-Learning with Gaussian Processes
Meta-learning is a powerful approach that exploits historical data to quickly solve new tasks from the same distribution.
Transfer Learning with Gaussian Processes for Bayesian Optimization
Bayesian optimization is a powerful paradigm to optimize black-box functions based on scarce and noisy data.
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