Corpus ID: 12530386

The Human Kernel

@inproceedings{Wilson2015TheHK,
  title={The Human Kernel},
  author={A. Wilson and Christoph Dann and Christopher G. Lucas and E. Xing},
  booktitle={NIPS},
  year={2015}
}
Bayesian nonparametric models, such as Gaussian processes, provide a compelling framework for automatic statistical modelling: these models have a high degree of flexibility, and automatically calibrated complexity. [...] Key Method We use the learned kernels to gain psychological insights and to extrapolate in human-like ways that go beyond traditional stationary and polynomial kernels. Finally, we investigate Occam's razor in human and Gaussian process based function learning.Expand
46 Citations

Paper Mentions

Blog Post
Function-Space Distributions over Kernels
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Compositional Inductive Biases in Function Learning
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Compositional inductive biases in function learning
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Data Availability and Function Extrapolation
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Generalizing Functions in Sparse Domains
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Probing the Compositionality of Intuitive Functions
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References

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