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Semi-Random Sparse Recovery in Nearly-Linear Time

Semi-Random Sparse Recovery in Nearly-Linear Time

8 March 2022
Jonathan A. Kelner
Jungshian Li
Allen Liu
Aaron Sidford
Kevin Tian
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Papers citing "Semi-Random Sparse Recovery in Nearly-Linear Time"

6 / 6 papers shown
Title
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
Gautam Chandrasekaran
Vasilis Kontonis
Konstantinos Stavropoulos
Kevin Tian
92
0
0
20 Jan 2025
Top-$K$ ranking with a monotone adversary
Top-KKK ranking with a monotone adversary
Yuepeng Yang
Antares Chen
Lorenzo Orecchia
Cong Ma
37
1
0
12 Feb 2024
ReSQueing Parallel and Private Stochastic Convex Optimization
ReSQueing Parallel and Private Stochastic Convex Optimization
Y. Carmon
A. Jambulapati
Yujia Jin
Y. Lee
Daogao Liu
Aaron Sidford
Kevin Tian
FedML
22
12
0
01 Jan 2023
ReLU Regression with Massart Noise
ReLU Regression with Massart Noise
Ilias Diakonikolas
Jongho Park
Christos Tzamos
56
11
0
10 Sep 2021
Forster Decomposition and Learning Halfspaces with Noise
Forster Decomposition and Learning Halfspaces with Noise
Ilias Diakonikolas
D. Kane
Christos Tzamos
81
18
0
12 Jul 2021
Improved Graph Clustering
Improved Graph Clustering
Yudong Chen
Sujay Sanghavi
Huan Xu
94
191
0
11 Oct 2012
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