Research map / Probabilistic and scientific modeling / Bayesian optimization
Predictive Entropy Search for Multi-objective Bayesian Optimization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use entropy reduction over the Pareto set to select evaluations | PESMO · Synthetic optimization | hyper-volume | Helped |
| Evaluate objectives decoupled rather than coupled (ablation) | PESMO · Synthetic optimization, 4 objectives and 6 dimensions | hyper-volume | Helped |
| Evaluate objectives decoupled rather than coupled (ablation) | PESMO · Synthetic optimization, 2 objectives and 3 dimensions | hyper-volume | No clear effect |
| Evaluate objectives decoupled rather than coupled (ablation) | PESMO · MNIST, 100 evaluations | hyper-volume | Helped |
| Evaluate objectives decoupled rather than coupled (ablation) | PESMO · MNIST, 200 evaluations | hyper-volume: 67.8 ± .1 -> 67.8 ± .1 | No clear effect |
| Evaluate objectives decoupled rather than coupled (ablation) | PESMO · Finding a small and accurate ensemble of decision trees, 100 evaluations | hyper-volume | Helped |
| Evaluate objectives decoupled rather than coupled (ablation) | PESMO · Finding a small and accurate ensemble of decision trees, 200 evaluations | hyper-volume | No clear effect |
| Evaluate objectives decoupled rather than coupled (ablation) | PESMO · Synthetic optimization, 2 objectives and 3 dimensions | time per iteration: 33 ± 1.0 -> 52 ± 2.5 | Hurt |
Closest papers by meaning
- Joint Entropy Search for Multi-Objective Bayesian Optimization (NeurIPS 2022 · similarity 0.91)
- Pareto-frontier Entropy Search with Variational Lower Bound Maximization (ICML 2025 · similarity 0.87)
- SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization (NeurIPS 2026 · similarity 0.87)
- Multi-Objective Bayesian Optimization with Active Preference Learning (AAAI 2024 · similarity 0.87)
- A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization (ICML 2025 · similarity 0.86)
- Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models (AAAI 2025 · similarity 0.86)
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