Convergence of the huber regression m-estimate in the presence of dense outliers

Keyphrases

• Measurement Matrix 100%
• Huber Regression 100%
• M-estimation 100%
• Linear Transformation 50%
• Convergence Rate 50%
• Parameter Vector 50%
• Simple Proof 50%
• Unknown Distribution 50%
• Noisy Measurements 50%
• Additive Outliers 50%
• Huber Penalty Function 50%
• Contamination Level 50%

Mathematics

• Matrix Measurement 100%
• Gaussian Standard 50%
• Matrix 50%
• Residuals 50%
• True Parameter 50%
• Linear Transformation 50%
• Parameter Vector 50%
• Rate of Convergence 50%