528 citations · 4.4k across the 100 of their papers we have counts for
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stat.ML2013★ 11 cited
GPatt: Fast Multidimensional Pattern Extrapolation with Gaussian Processes
Andrew Gordon Wilson, Elad Gilboa, Arye Nehorai +1
Gaussian processes are typically used for smoothing and interpolation on small datasets. We introduce a new Bayesian nonparametric framework -- GPatt -- enabling automatic pattern…
stat.ML2013★ 279 cited
Gaussian Process Kernels for Pattern Discovery and Extrapolation
Andrew Gordon Wilson, Ryan Prescott Adams
Gaussian processes are rich distributions over functions, which provide a Bayesian nonparametric approach to smoothing and interpolation. We introduce simple closed form kernels th…