ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels

24 October 2019

Papers citing "ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels"

5 / 5 papers shown

Title
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 27 4 0 24 Aug 2022
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates Takeyuki Sasai 18 4 0 15 Jun 2022
Kalman Filtering with Adversarial Corruptions Sitan Chen Frederic Koehler Ankur Moitra Morris Yau AAML 27 10 0 11 Nov 2021
All-In-One Robust Estimator of the Gaussian Mean A. Dalalyan A. Minasyan 18 25 0 04 Feb 2020
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot Guillaume Lecué M. Lerasle 23 18 0 10 May 2019