Research map / Probabilistic and scientific modeling / Variational and generative sampling
Vector-Valued Control Variates
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 |
|---|---|---|---|
| Vector-valued CV (jointly sharing information across tasks) instead of per-task scalar CV | Borehole multifidelity integration · Borehole flow, m=10 to 150 | mean absolute integration error | Helped |
| Estimating B from data rather than fixing it (ablation) | vvCV on borehole flow · Borehole flow, m=20 to 150 | mean absolute integration error | Helped |
| Estimating B instead of fixing it (ablation) | vvCV on Lotka-Volterra, T=2 · Lotka-Volterra prey, T=2, m=500 | sum of mean absolute integration error | Hurt |
| Estimating B instead of fixing it (ablation) | vvCV on Lotka-Volterra, T=5 and T=10 · Lotka-Volterra prey, T=5 and T=10, m=500 | sum of mean absolute integration error | Helped |
| Vector-valued CV compared with scalar kernel CV | Lotka-Volterra prey abundance · T=2,5,10, m=500 | sum of mean absolute integration error | Helped |
| Vector-valued CV with fixed B vs scalar CF at small sample size | Borehole flow · Borehole flow, m=50 to 150 | mean absolute integration error | Mixed |
Closest papers by meaning
- Multilevel Control Functional (ICLR 2026 · similarity 0.90)
- When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality (NeurIPS 2023 · similarity 0.89)
- Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold (ICLR 2025 · similarity 0.85)
- Sliced Wasserstein Estimation with Control Variates (ICLR 2024 · similarity 0.83)
- Sample-efficient Bayesian Optimisation Using Known Invariances (NeurIPS 2024 · similarity 0.82)
- Integration-free Kernels for Equivariant Gaussian Process Modelling (ICML 2025 · similarity 0.82)
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.