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On the Identifiability and Interpretability of Gaussian Process Models

NeurIPS 2023 · Probabilistic and scientific modeling › Uncertainty and Gaussian processes · approach: Structured Gaussian process models · 2 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add smoother Matérn components to an additive mixtureSingle-output GP with Matérn kernels of varying smoothness · Asymptotic fixed-domain settingsmoothnessNo clear effect
Use an additive mixture instead of its least smooth Matérn component aloneSingle-output GP · Asymptotic predictionMSENo clear effect
Add Matérn 3/2 and 5/2 components to Matérn 1/2 (ablation)Single-output GP · MNIST image predictionprediction performanceNo clear effect
Add Matérn 3/2 and 5/2 components to Matérn 1/2 (ablation)Single-output GP · Mauna Loa CO2 regressiontest MSENo clear effect
Add Matérn 5/2 to Matérn 3/2 (ablation)Single-output GP · Mauna Loa CO2 regressiontest MSENo clear effect
Add the less smooth Matérn 1/2 component to Matérn 3/2 (ablation)Single-output GP · Mauna Loa CO2 regressionprediction performanceHurt
Add the smoother Matérn 5/2 component to Matérn 3/2 (ablation)Single-output GP · Mauna Loa CO2 regressionprediction performanceNo clear effect
Use the additive mixture rather than the least smooth component alone with limited training data (ablation)Single-output GP · Mauna Loa CO2 regression, training sample size below 50%test MSEMixed
Allow Matérn mixture components to have distinct smoothnessSingle-output GP · Asymptotic fixed-domain setting, p=1,2,3parameter identifiabilityHurt
Use Matérn mixture components with the same smoothness (ablation)Single-output GP · Asymptotic fixed-domain settingparameter identifiabilityHurt
Add Gaussian nugget noise with the same variance across compared models (ablation)Single-output GP with additive Matérn mixture · Identifiabilityparameter identifiabilityNo clear effect
Use a separable multiplicative kernel with covariance matrix AMulti-output GP · Matérn base kernelcorrelation-structure identifiabilityHelped

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