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Subspace Recovery from Heterogeneous Data with Non-isotropic Noise

Subspace Recovery from Heterogeneous Data with Non-isotropic Noise

24 October 2022
John C. Duchi
Vitaly Feldman
Lunjia Hu
Kunal Talwar
    FedML
ArXiv (abs)PDFHTML

Papers citing "Subspace Recovery from Heterogeneous Data with Non-isotropic Noise"

9 / 9 papers shown
Title
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
Cynthia Dwork
Lunjia Hu
Han Shao
9
0
0
20 Jun 2025
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
Aoran Chen
Yang Feng
79
0
0
05 May 2025
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
Sangil Han
Kyoowon Kim
Sungkyu Jung
65
0
0
23 Feb 2025
Meta-learning of shared linear representations beyond well-specified linear regression
Meta-learning of shared linear representations beyond well-specified linear regression
Mathieu Even
Laurent Massoulié
122
0
0
31 Jan 2025
Learning with Shared Representations: Statistical Rates and Efficient Algorithms
Learning with Shared Representations: Statistical Rates and Efficient Algorithms
Xiaochun Niu
Lili Su
Jiaming Xu
Pengkun Yang
FedML
68
2
0
07 Sep 2024
Federated Representation Learning in the Under-Parameterized Regime
Federated Representation Learning in the Under-Parameterized Regime
Renpu Liu
Cong Shen
Jing Yang
79
5
0
07 Jun 2024
On the Benefits of Public Representations for Private Transfer Learning
  under Distribution Shift
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
Pratiksha Thaker
Amrith Rajagopal Setlur
Zhiwei Steven Wu
Virginia Smith
91
2
0
24 Dec 2023
Estimation of Models with Limited Data by Leveraging Shared Structure
Estimation of Models with Limited Data by Leveraging Shared Structure
Maryann Rui
Thibaut Horel
M. Dahleh
12
0
0
04 Oct 2023
Differentially private sliced inverse regression in the federated
  paradigm
Differentially private sliced inverse regression in the federated paradigm
Shuai He
Jiawei Zhang
Xin Chen
FedML
78
1
0
10 Jun 2023
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