Scalable gaussian processes for characterizing multidimensional change surfaces
We present a scalable Gaussian process model for identifying and characterizing smooth multidimensional changepoints, and automatically learning changes in expressive covariance structure. We use Random Kitchen Sink features to exibly define a change surface in combination with expressive spectral m...
Príomhchruthaitheoirí: | Herlands, W, Wilson, A, Nickisch, H, Flaxman, S, Neill, D, van Panhuis, W, Xing, E |
---|---|
Formáid: | Conference item |
Foilsithe / Cruthaithe: |
Journal of Machine Learning Research
2016
|
Míreanna comhchosúla
Míreanna comhchosúla
-
Scalable inference and private co-training for Gaussian processes
de réir: Thomas, O
Foilsithe / Cruthaithe: (2017) -
Modulating scalable Gaussian processes for expressive statistical learning
de réir: Liu, Haitao, et al.
Foilsithe / Cruthaithe: (2022) -
A Scalable Gaussian Process Approach to Shear Mapping with MuyGPs
de réir: Gregory Sallaberry, et al.
Foilsithe / Cruthaithe: (2025-01-01) -
Understanding and comparing scalable Gaussian process regression for big data
de réir: Liu, Haitao, et al.
Foilsithe / Cruthaithe: (2020) -
Scalable Indoor Localization via Mobile Crowdsourcing and Gaussian Process
de réir: Qiang Chang, et al.
Foilsithe / Cruthaithe: (2016-03-01)