Subspace Recovery from Heterogeneous Data with Non-isotropic Noise

24 October 2022

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 Cynthia Dwork Lunjia Hu Han Shao 7 0 0 20 Jun 2025
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 Mathieu Even Laurent Massoulié 122 0 0 31 Jan 2025
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 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 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 Maryann Rui Thibaut Horel M. Dahleh 10 0 0 04 Oct 2023
Differentially private sliced inverse regression in the federated paradigm Shuai He Jiawei Zhang Xin Chen FedML 78 1 0 10 Jun 2023