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Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes

Orthogonally Decoupled Variational Gaussian Processes

NeurIPS 2018 · Probabilistic and scientific modeling › Uncertainty and Gaussian processes · approach: PAC-Bayes and decoupled GP learning · 21 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the orthogonally decoupled basis with natural gradient updates instead of the coupled basis with natural gradientsVariational Gaussian processes · 12 regression datasetsnormalized test MAE mean: 0.290 -> 0.282Helped
Use the orthogonally decoupled basis with natural gradient updates instead of the coupled basis with natural gradientsVariational Gaussian processes · 12 regression datasetsnormalized test MAE median: 0.213 -> 0.210Helped
Use the orthogonally decoupled basis instead of the coupled basisVariational Gaussian processes · 19 classification datasetstest accuracy median (%): 94.8 -> 95.6Helped
Use natural gradient updates with the orthogonally decoupled basis instead of adaptive gradient descent (ablation)Variational Gaussian processes · 12 regression datasetsnormalized test MAE mean: 0.284 -> 0.282Helped
Use natural gradient updates with the orthogonally decoupled basis instead of adaptive gradient descent (ablation)Variational Gaussian processes · 19 classification datasetstest accuracy median (%): 95.6 -> 93.6Hurt
Use natural gradient updates with the orthogonally decoupled basis instead of adaptive gradient descent (ablation)Variational Gaussian processes · 19 classification datasetstest accuracy mean (%): 90.6 -> 90.3Hurt
Add an orthogonal residual mean component to the coupled basisVariational Gaussian processes · Regression benchmarkstest performanceHelped
Add an orthogonal residual mean component to the coupled basisVariational Gaussian processes · Classification benchmarkstest performanceMixed
Use natural gradient updates instead of ordinary adaptive gradient updates (ablation)Orthogonally decoupled Gaussian processes · 3droad regression illustrationconvergenceHelped
Use natural gradient updates instead of ordinary gradient updates (ablation)Orthogonally decoupled Gaussian processes · Classification benchmarkstest accuracyMixed
Add more gamma inducing points while keeping beta fixed (ablation)Orthogonally decoupled Gaussian processes · Regression and classification benchmarkstest performanceHelped
Add more gamma inducing points while keeping beta fixed (ablation)Hybrid and Decoupled Gaussian processes · Regression and classification benchmarkstest performanceNo clear effect

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