atlas

Research map / Learning theory and algorithms / Matrix and tensor methods

Faster Principal Component Regression and Stable Matrix Chebyshev Approximation

ICML 2017 · Learning theory and algorithms › Matrix and tensor methods · approach: Sparse and robust PCA · 5 citations (OpenAlex)

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 changedWhereMeasuredEffect
Replace the Frostig et al. polynomial approach with the proposed near-optimal polynomial approximation and stable recurrencePCP · PCPridge-regression oracle calls: Θ(γ−2 log 1/(γε)) -> O(γ−1 log 1/(γε))Helped
Replace the Frostig et al. polynomial approach with the proposed near-optimal polynomial approximation and stable recurrencePCR · PCRridge-regression oracle calls: Θ(γ−2 log 1/(γλε)) -> O(γ−1 log 1/(γλε))Helped

Closest papers by meaning

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.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy