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20122023
most citedLearning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds

21 citations · 49 across the 13 of their papers we have counts for

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Showing 2020 · stat.MLShow all

1 paper · 2 filters

stat.ML2020★ 2 cited

Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties

Jakob Lindinger, David Reeb, Christoph Lippert +1

Deep Gaussian Processes learn probabilistic data representations for supervised learning by cascading multiple Gaussian Processes. While this model family promises flexible predict…