Research map / Learning theory and algorithms / Sample complexity
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality
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
- Vector-Valued Control Variates (ICML 2023 · similarity 0.89)
- A Quadrature Rule combining Control Variates and Adaptive Importance Sampling (NeurIPS 2022 · similarity 0.89)
- Using Large Ensembles of Control Variates for Variational Inference (NeurIPS 2018 · similarity 0.88)
- Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold (ICLR 2025 · similarity 0.84)
- Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient (ICML 2024 · similarity 0.83)
- Quasi-Monte Carlo Features for Kernel Approximation (ICML 2024 · similarity 0.83)
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.
