Research map / Probabilistic and scientific modeling / Bayesian optimization
Few-Shot Design Optimization by Exploiting Auxiliary Information
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.
Closest papers by meaning
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization (NeurIPS 2022 · similarity 0.87)
- Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints (ICML 2024 · similarity 0.86)
- Informed Initialization for Bayesian Optimization and Active Learning (NeurIPS 2025 · similarity 0.85)
- Adaptive Partitioning Schemes for Optimistic Optimization (ICML 2025 · similarity 0.85)
- Learning Surrogates for Offline Black-Box Optimization via Gradient Matching (ICML 2024 · similarity 0.85)
- PASOA- PArticle baSed Bayesian Optimal Adaptive design (ICML 2024 · similarity 0.84)
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.