Research map / Learning theory and algorithms / Sample complexity
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time
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 QUE-score filtering in the refinement phases instead of solving packing SDPs to high accuracy | Robust Gaussian covariance estimation · Robust Gaussian covariance estimation | runtime: \widetilde{O} (T(N, d) / \eps^8) -> \wt O( T(N,d)\log \kappa) | Helped |
| Use QUE-score filtering in the refinement phases instead of solving packing SDPs to high accuracy | Robust Gaussian covariance estimation · Robust Gaussian covariance estimation | Mahalanobis error: O(\eps \log 1 / \eps) -> O(\eps\log(1/\eps)) | No clear effect |
Closest papers by meaning
- A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm (NeurIPS 2023 · similarity 0.89)
- Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination (ICML 2025 · similarity 0.88)
- A Subquadratic Time Algorithm for Robust Sparse Mean Estimation (ICML 2024 · similarity 0.87)
- Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints (ICML 2024 · similarity 0.86)
- The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler (NeurIPS 2026 · similarity 0.86)
- Robust Sparse Regression with Non-Isotropic Designs (NeurIPS 2024 · 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.