A spectral algorithm for robust regression with subgaussian rates

12 July 2020

Papers citing "A spectral algorithm for robust regression with subgaussian rates"

12 / 12 papers shown

Title
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression Ilias Diakonikolas Daniel M. Kane Ankit Pensia Thanasis Pittas 27 2 0 04 Dec 2023
Near Optimal Private and Robust Linear Regression Xiyang Liu Prateek Jain Weihao Kong Sewoong Oh A. Suggala 33 9 0 30 Jan 2023
Robust empirical risk minimization via Newton's method Eirini Ioannou Muni Sreenivas Pydi Po-Ling Loh 16 2 0 30 Jan 2023
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions Ilias Diakonikolas D. Kane Jasper C. H. Lee Ankit Pensia 17 12 0 29 Nov 2022
$A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance \& heterogeneous noise$ A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance \& heterogeneous noise R. I. Oliveira Zoraida F. Rico Philip Thompson 25 0 0 06 Sep 2022
Time varying regression with hidden linear dynamics Ali Jadbabaie Horia Mania Devavrat Shah S. Sra OOD 11 5 0 29 Dec 2021
Conditional Linear Regression for Heterogeneous Covariances Brendan Juba Leda Liang 14 0 0 15 Nov 2021
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion Philip Thompson 19 9 0 12 Dec 2020
Optimal Mean Estimation without a Variance Yeshwanth Cherapanamjeri Nilesh Tripuraneni Peter L. Bartlett Michael I. Jordan 11 21 0 24 Nov 2020
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 38 15 0 01 Jun 2020
Robust subgaussian estimation of a mean vector in nearly linear time Jules Depersin Guillaume Lecué 21 92 0 07 Jun 2019
Scale calibration for high-dimensional robust regression Yu Li 11 25 0 06 Nov 2018