Research map / Probabilistic and scientific modeling / Bayesian optimization
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use low-fidelity measurements alongside high-fidelity measurements to guide configuration search | MFES-HB · FCNet | convergence speed | Helped |
| Combine fidelity-specific surrogates with gPoE and ranking-loss-based weights | MFES-HB · FCNet | convergence performance | Helped |
| Replace gPoE with a linear combination assuming independent predictions (ablation) | MFES-HB surrogate · FCNet | convergence | Hurt |
| Use a single best fidelity-specific surrogate instead of the weighted ensemble (ablation) | MFES-HB surrogate · FCNet | convergence | Hurt |
| Give all fidelity-specific surrogates equal weight (ablation) | MFES-HB surrogate · FCNet | convergence | Hurt |
| Use MFES-HB instead of HB | FCNet · FCNet | speedup over HB: 1.0x -> 10.1x | Helped |
| Use MFES-HB instead of HB | XGBoost · XGBoost | speedup over HB: 1.0x -> 4.5x | Helped |
Closest papers by meaning
- Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization (ICLR 2017 · similarity 0.88)
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