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Outlier-Robust Sparse Estimation via Non-Convex Optimization

Outlier-Robust Sparse Estimation via Non-Convex Optimization

23 September 2021
Yu Cheng
Ilias Diakonikolas
Rong Ge
Shivam Gupta
D. Kane
Mahdi Soltanolkotabi
ArXivPDFHTML

Papers citing "Outlier-Robust Sparse Estimation via Non-Convex Optimization"

12 / 12 papers shown
Title
Robust Sparse Estimation for Gaussians with Optimal Error under Huber
  Contamination
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
Ilias Diakonikolas
Daniel M. Kane
Sushrut Karmalkar
Ankit Pensia
Thanasis Pittas
34
0
0
15 Mar 2024
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean
  Estimation and Linear Regression
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
Robust Sparse Mean Estimation via Incremental Learning
Robust Sparse Mean Estimation via Incremental Learning
Jianhao Ma
Ruidi Chen
Yinghui He
S. Fattahi
Wei Hu
36
0
0
24 May 2023
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
Ilias Diakonikolas
D. Kane
Ankit Pensia
Thanasis Pittas
OOD
34
10
0
04 May 2023
Flag Aggregator: Scalable Distributed Training under Failures and
  Augmented Losses using Convex Optimization
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
Hamidreza Almasi
Harshit Mishra
Balajee Vamanan
Sathya Ravi
FedML
22
0
0
12 Feb 2023
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
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
Is Out-of-Distribution Detection Learnable?
Is Out-of-Distribution Detection Learnable?
Zhen Fang
Yixuan Li
Jie Lu
Jiahua Dong
Bo Han
Feng Liu
OODD
30
124
0
26 Oct 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
23
5
0
09 Jun 2022
Robust Sparse Mean Estimation via Sum of Squares
Robust Sparse Mean Estimation via Sum of Squares
Ilias Diakonikolas
D. Kane
Sushrut Karmalkar
Ankit Pensia
Thanasis Pittas
20
21
0
07 Jun 2022
List-Decodable Sparse Mean Estimation
List-Decodable Sparse Mean Estimation
Shiwei Zeng
Jie Shen
17
9
0
28 May 2022
Streaming Algorithms for High-Dimensional Robust Statistics
Streaming Algorithms for High-Dimensional Robust Statistics
Ilias Diakonikolas
D. Kane
Ankit Pensia
Thanasis Pittas
14
21
0
26 Apr 2022
Nearly minimax robust estimator of the mean vector by iterative spectral
  dimension reduction
Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction
A. Bateni
A. Minasyan
A. Dalalyan
19
2
0
05 Apr 2022
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