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We introduce a Gaussian process model of functions which are additive.
Generalized linear models
J.A. Nelder and R.W.M. Wedderburn · 1972
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Updating quasi-newton matrices with limited storage
J. Nocedal · 1980
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Generalized additive models
T.J. Hastie and R.J. Tibshirani · 1990
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Spline models for observational data
G. Wahba · 1990
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Symmetric functions and Hall polynomials
I.G. Macdonald · 1998
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Statistical learning theory
V.N. Vapnik · 1998
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Accuracy versus interpretability in flexible modeling: Implementing a tradeoff using Gaussian process models
T.A. Plate · 1999
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M. Stitson, A. Gammerman, V. Vapnik, V. Vovk, C. Watkins, and J. Weston · 1999
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Enumerative combinatorics
R.P. Stanley · 2001
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Expectation propagation for approximate Bayesian inference
T.P. Minka · 2001
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Gaussian Processes for Machine Learning
C.E. Rasmussen and CKI Williams · 2006
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The curse of highly variable functions for local kernel machines
Y. Bengio, O. Delalleau, and N. Le Roux · 2006
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High-dimensional non-linear variable selection through hierarchical kernel learning
Francis Bach · 2009
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Bayesian localized multiple kernel learning
M. Christoudias, R. Urtasun, and T. Darrell · 2009
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Bayesian functional anova modeling using Gaussian process prior distributions
C.G. Kaufman and S.R. Sain · 2010
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