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On convex decision regions in deep network representations
G{\"a}rdenfors' conceptual spaces is a prominent framework for understanding human representations.
On the role of Model Uncertainties in Bayesian Optimization
In this work, we provide an extensive study of the relationship between the BO performance (regret) and uncertainty calibration for popular surrogate models and compare them across both synthetic and real-world experiments.
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