Research map / Probabilistic and scientific modeling / Bayesian optimization
Structured Variationally Auto-encoded Optimization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Propagate SG-VAE latent uncertainty into the BO search (GP with uncertain inputs) versus no uncertainty propagation (ablation) | SVO on Barley dataset · Automatic Statistician model selection (Barley) | best MSE found over iterations | Helped |
| Use SVO (latent-space BO over SG-VAE) instead of compositional kernel search (CKS) | Kernel search for Gaussian process model selection · Airline, Barley, Concrete | best MSE found over 70 iterations | Helped |
| Use the Frobenius distance-based data representation alongside grammar representation | SG-VAE kernel representation · Automatic Statistician model selection | qualitative | No clear effect |
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