26 citations · 42 across the 4 of their papers we have counts for
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stat.ML2016★ 13 cited
Prediction performance after learning in Gaussian process regression
Johan Wågberg, Dave Zachariah, Thomas B. Schön +1
This paper considers the quantification of the prediction performance in Gaussian process regression. The standard approach is to base the prediction error bars on the theoretical…
stat.CO2016★ 1 cited
Linear System Identification via EM with Latent Disturbances and Lagrangian Relaxation
Jack Umenberger, Johan Wågberg, Ian R. Manchester +1
In the application of the Expectation Maximization algorithm to identification of dynamical systems, internal states are typically chosen as latent variables, for simplicity. In th…