Research map / Learning theory and algorithms / Matrix and tensor methods
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation
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 GNC-IRLS0 instead of GNC-TLS | Point cloud registration · Point cloud registration | # of iterations: 32 -> 10 | Helped |
| Replace GNC-TLS with MS-GNC-TLS using the majorizing TLS surrogate and superlinear schedule (ablation) | GNC-TLS · Point cloud registration | # of iterations: 32 -> 6 | Helped |
| Use the superlinear GNC schedule instead of the linear schedule (ablation) | GNC-TLS · Point cloud registration | # of iterations: 32 -> 6 | Helped |
| Use p = 0 instead of p = 1 (ablation) | GNC-IRLSp · Robust regression | # of iterations: more than 100 -> within 10 | Helped |
| Use the superlinear schedule instead of the linear schedule (ablation) | GNC-IRLS · Robust regression | convergence rate | Helped |
Closest papers by meaning
- Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression (NeurIPS 2022 · similarity 0.90)
- Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks (NeurIPS 2024 · similarity 0.86)
- Density Ratio Estimation with Doubly Strong Robustness (ICML 2024 · similarity 0.84)
- A Subquadratic Time Algorithm for Robust Sparse Mean Estimation (ICML 2024 · similarity 0.84)
- Robust Sparsification via Sensitivity (ICML 2025 · similarity 0.84)
- Robust Sparse Regression with Non-Isotropic Designs (NeurIPS 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.