Research map / Probabilistic and scientific modeling / Bayesian optimization
Multi-objective Bayesian Optimization using Pareto-frontier Entropy
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use PFES instead of the compared methods | Multi-objective Bayesian optimization · Ackley/Sphere, DTLZ3, DTLZ4 | relative hyper-volume convergence | Helped |
| Use PFES instead of MESMO | Multi-objective Bayesian optimization · ZDT4 | relative hyper-volume convergence | Hurt |
| Use PFES instead of MESMO | Multi-objective Bayesian optimization · DTLZ3 and DTLZ4 | relative hyper-volume convergence | Helped |
| Use PFES instead of ParEGO, SMSego, EHI, and MESMO | Multi-objective Bayesian optimization · DTLZ4 acquisition function evaluation for 100 points | time (sec): 62.36 sec; 0.53 sec; 6.32 sec; 317.55 sec; 59.90 sec | Mixed |
| Use PFES in the decoupled setting instead of coupled PFES | PFES · Bi2O3 and LLTO | relative hyper-volume versus total sampling cost | Helped |
| Vary the number of Pareto-frontier samples from 10 to 30 or 50 (ablation) | PFES · Ackley/Sphere, ZDT4, DTLZ3, DTLZ4 | relative hyper-volume convergence | No clear effect |
Closest papers by meaning
- Pareto-frontier Entropy Search with Variational Lower Bound Maximization (ICML 2025 · similarity 0.91)
- Predictive Entropy Search for Multi-objective Bayesian Optimization (ICML 2016 · similarity 0.90)
- Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models (AAAI 2025 · similarity 0.88)
- Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization (NeurIPS 2026 · similarity 0.86)
- A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization (ICML 2025 · similarity 0.85)
- BOtied: Multi-objective Bayesian optimization with tied multivariate ranks (ICML 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.