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Robust Regression Revisited: Acceleration and Improved Estimation Rates

Robust Regression Revisited: Acceleration and Improved Estimation Rates

22 June 2021
A. Jambulapati
J. Li
T. Schramm
Kevin Tian
    AAML
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Papers citing "Robust Regression Revisited: Acceleration and Improved Estimation Rates"

14 / 14 papers shown
Title
Optimal Rates for Robust Stochastic Convex Optimization
Optimal Rates for Robust Stochastic Convex Optimization
Changyu Gao
Andrew Lowy
Xingyu Zhou
Stephen J. Wright
71
0
0
15 Dec 2024
Fast, robust approximate message passing
Fast, robust approximate message passing
Misha Ivkov
T. Schramm
38
1
0
05 Nov 2024
SoS Certifiability of Subgaussian Distributions and its Algorithmic
  Applications
SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications
Ilias Diakonikolas
Samuel B. Hopkins
Ankit Pensia
Stefan Tiegel
31
3
0
28 Oct 2024
Linear Regression using Heterogeneous Data Batches
Linear Regression using Heterogeneous Data Batches
Ayush Jain
Rajat Sen
Weihao Kong
Abhimanyu Das
A. Orlitsky
20
3
0
05 Sep 2023
Robust Nonparametric Regression under Poisoning Attack
Robust Nonparametric Regression under Poisoning Attack
Puning Zhao
Z. Wan
AAML
16
8
0
26 May 2023
A New Approach to Learning Linear Dynamical Systems
A New Approach to Learning Linear Dynamical Systems
Ainesh Bakshi
Allen Liu
Ankur Moitra
Morris Yau
30
14
0
23 Jan 2023
A Bayesian Robust Regression Method for Corrupted Data Reconstruction
A Bayesian Robust Regression Method for Corrupted Data Reconstruction
Zheyi Fan
Zhaohui Li
Jingyan Wang
Dennis K. J. Lin
X. Xiong
Qingpei Hu
AAML
18
0
0
24 Dec 2022
Efficient List-Decodable Regression using Batches
Efficient List-Decodable Regression using Batches
Abhimanyu Das
Ayush Jain
Weihao Kong
Rajat Sen
26
4
0
23 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
Hardness and Algorithms for Robust and Sparse Optimization
Hardness and Algorithms for Robust and Sparse Optimization
Eric Price
Sandeep Silwal
Samson Zhou
27
7
0
29 Jun 2022
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized
  Linear Models
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models
Pranjal Awasthi
Abhimanyu Das
Weihao Kong
Rajat Sen
17
5
0
09 Jun 2022
Robust estimation algorithms don't need to know the corruption level
Robust estimation algorithms don't need to know the corruption level
Ayush Jain
A. Orlitsky
V. Ravindrakumar
11
6
0
11 Feb 2022
Robust Generalized Method of Moments: A Finite Sample Viewpoint
Robust Generalized Method of Moments: A Finite Sample Viewpoint
Dhruv Rohatgi
Vasilis Syrgkanis
10
2
0
06 Oct 2021
Robust Nonparametric Regression with Deep Neural Networks
Robust Nonparametric Regression with Deep Neural Networks
Guohao Shen
Yuling Jiao
Yuanyuan Lin
Jian Huang
OOD
31
13
0
21 Jul 2021
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