Research map / Probabilistic and scientific modeling / Bayesian optimization
Max-value Entropy Search for Multi-Objective Bayesian Optimization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace input-space entropy (PESMO) with output-space entropy (MESMO) acquisition, 1 sample | multi-objective BO · Acquisition optimization time, PRDZPS-6,6 | seconds: 110.4 -> 4.56 | Helped |
| replace PESMO with MESMO, 100 samples | multi-objective BO · Acquisition optimization time, BC-2,2 | seconds: 1128.3 -> 242.434 | Helped |
| replace SMSego with MESMO-1 | multi-objective BO · Acquisition optimization time, PRDZPS-6,6 | seconds: 300.43 -> 4.56 | Helped |
| increase number of Monte-Carlo samples from 1 to 100 in MESMO (ablation) | MESMO · Acquisition optimization time, PRDZPS-6,6 | seconds: 4.56 -> 377.53 | Hurt |
| increase Monte-Carlo samples from 1 to 100 in MESMO (ablation) | MESMO · Pareto hypervolume difference and R2 (figures) | convergence rate | No clear effect |
| increase Monte-Carlo samples from 1 to 100 in PESMO | PESMO · Pareto hypervolume difference and R2 (figures) | convergence rate | Helped |
| replace PESMO, ParEGO, SMSego, EHI, SUR with MESMO | multi-objective BO · synthetic and real-world benchmarks (figures) | Pareto hypervolume difference, R2 | Helped |
Closest papers by meaning
- Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach (AAAI 2020 · similarity 0.92)
- Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization (AAAI 2020 · similarity 0.91)
- Batched Energy-Entropy acquisition for Bayesian Optimization (NeurIPS 2024 · similarity 0.86)
- A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization (ICML 2025 · similarity 0.86)
- Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) (AAAI 2024 · similarity 0.86)
- MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions (NeurIPS 2025 · similarity 0.86)
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