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Found 2 papers, 1 papers with code
Fast Adaptation with Linearized Neural Networks
The inductive biases of trained neural networks are difficult to understand and, consequently, to adapt to new settings.
Preferential Batch Bayesian Optimization
This direction has been mainly driven by the use of BO in machine learning hyper-parameter configuration problems.
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