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Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the robust bound accounting for uncertain hyperparameters instead of a vanilla GP bound | Gaussian process regression · BSTN₅₀ | error bound violation rate: 0.41 -> 0.19 | Helped |
| Use the robust bound accounting for uncertain hyperparameters instead of a vanilla GP bound | Gaussian process regression · BSTN₄₅₀ | error bound violation rate: 0.48 -> 0.35 | Helped |
| Use the robust bound accounting for uncertain hyperparameters instead of a vanilla GP bound | Gaussian process regression · ML₅₀ | error bound violation rate: 0.11 -> 0.00 | Helped |
| Use the robust bound accounting for uncertain hyperparameters instead of a vanilla GP bound | Gaussian process regression · ML₃₀₀ | error bound violation rate: 0.01 -> 0.00 | Helped |
| Use the robust bound accounting for uncertain hyperparameters instead of a vanilla GP bound | Gaussian process regression · Wine₂₀₀ | error bound violation rate: 0.04 -> 0.01 | Helped |
| Use the robust bound accounting for uncertain hyperparameters instead of a vanilla GP bound | Gaussian process regression · Wine₁₀₀₀ | error bound violation rate: 0.04 -> 0.01 | Helped |
| Use the robust bound accounting for uncertain hyperparameters instead of a vanilla GP bound | Gaussian process regression · SRCS₈₅₀ | error bound violation rate: 0.98 -> 0.08 | Helped |
| Use the robust bound accounting for uncertain hyperparameters instead of a vanilla GP bound | Gaussian process regression · SRCS₅₀₀₀ | error bound violation rate: 0.98 -> 0.02 | Helped |
| Use the robust bound accounting for uncertain hyperparameters instead of a vanilla GP bound | Gaussian process regression · SRCS₁₀₀₀₀ | error bound violation rate: 0.97 -> 0.01 | Helped |
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