4 citations · 9 across the 4 of their papers we have counts for
3 papers · 1 filter
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
William J. Wilkinson, Paul E. Chang, Michael Riis Andersen +1
We formulate approximate Bayesian inference in non-conjugate temporal and spatio-temporal Gaussian process models as a simple parameter update rule applied during Kalman smoothing.…
Bayesian leave-one-out cross-validation for large data
Måns Magnusson, Michael Riis Andersen, Johan Jonasson +1
Model inference, such as model comparison, model checking, and model selection, is an important part of model development. Leave-one-out cross-validation (LOO) is a general approac…
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss +2
A typical audio signal processing pipeline includes multiple disjoint analysis stages, including calculation of a time-frequency representation followed by spectrogram-based featur…