ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.08055
  4. Cited By
Compressed Sensing with Adversarial Sparse Noise via L1 Regression

Compressed Sensing with Adversarial Sparse Noise via L1 Regression

21 September 2018
Sushrut Karmalkar
Eric Price
    AAML
ArXivPDFHTML

Papers citing "Compressed Sensing with Adversarial Sparse Noise via L1 Regression"

5 / 5 papers shown
Title
Adversarial Phase Retrieval via Nonlinear Least Absolute Deviation
Adversarial Phase Retrieval via Nonlinear Least Absolute Deviation
Gao Huang
Song Li
Hang Xu
22
0
0
11 Dec 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
20
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
28
4
0
23 Nov 2022
List-Decodable Linear Regression
List-Decodable Linear Regression
Sushrut Karmalkar
Adam R. Klivans
Pravesh Kothari
24
74
0
14 May 2019
Outlier-robust estimation of a sparse linear model using
  $\ell_1$-penalized Huber's $M$-estimator
Outlier-robust estimation of a sparse linear model using ℓ1\ell_1ℓ1​-penalized Huber's MMM-estimator
A. Dalalyan
Philip Thompson
23
67
0
12 Apr 2019
1