Research map / Probabilistic and scientific modeling / Bayesian optimization
Multi-Fidelity Bayesian Optimization via Deep Neural Networks
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 the DNN-based multi-fidelity surrogate | DNN-MFBO · Branin | simple regret and inference regret | Helped |
| Use the DNN-based multi-fidelity surrogate | DNN-MFBO · Park1 | simple regret and inference regret: < 10^{-6} | Helped |
| Use the DNN-based multi-fidelity surrogate | DNN-MFBO · Levy | simple regret and inference regret | Helped |
| Use the DNN-based multi-fidelity surrogate and acquisition | DNN-MFBO · Mechanical Plate Vibration Design | best queried function value versus query cost | Helped |
| Use the DNN-based multi-fidelity surrogate and acquisition | DNN-MFBO · Thermal Conductor Design | best queried function value versus query cost | Helped |
| Use the DNN-MFBO acquisition calculation instead of MF-MES | Multi-fidelity BO · Synthetic benchmarks and engineering applications | average query time: 25x | Helped |
| Use the DNN-MFBO acquisition calculation instead of MF-PES | Multi-fidelity BO · Synthetic benchmarks and engineering applications | average query time: 60x | Helped |
Closest papers by meaning
- Efficient Hyperparameter Optimization with Adaptive Fidelity Identification (CVPR 2024 · similarity 0.89)
- A Study of Bayesian Neural Network Surrogates for Bayesian Optimization (ICLR 2024 · similarity 0.88)
- BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL (ICLR 2025 · similarity 0.88)
- Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints (ICML 2024 · similarity 0.87)
- A General Framework for User-Guided Bayesian Optimization (ICLR 2024 · similarity 0.86)
- Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization (ICML 2025 · similarity 0.86)
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.