Papers citing 'A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data'

Title
Shuffled Linear Regression via Spectral MatchingIEEE Transactions on Signal Processing (IEEE TSP), 2024 Hang Liu Anna Scaglione 316 0 0 30 Sep 2024
Optimal Estimator for Linear Regression with Shuffled Labels Hang Zhang Ping Li 138 1 0 02 Oct 2023
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical EstimatorsInternational Symposium on Information Theory (ISIT), 2021 Hang Zhang Ping Li 207 6 0 20 Mar 2023
Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing A. Abbasi Abiy Tasissa Shuchin Aeron 127 0 0 14 Nov 2022
Shuffled linear regression through graduated convex relaxation Efe Onaran Soledad Villar 151 4 0 30 Sep 2022
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation GroupInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Zhenbang Wang E. Ben-David M. Slawski 209 3 0 02 Nov 2021
Linear regression with partially mismatched data: local search with theoretical guaranteesMathematical programming (Math. Program.), 2021 Rahul Mazumder Haoyue Wang 190 6 0 03 Jun 2021
Unlabeled Principal Component Analysis and Matrix CompletionNeural Information Processing Systems (NeurIPS), 2021 Yu Yao Liangzu Peng M. Tsakiris 305 15 0 23 Jan 2021
A Hypergradient Approach to Robust Regression without CorrespondenceInternational Conference on Learning Representations (ICLR), 2020 Yujia Xie Yongyi Mao Simiao Zuo Hongteng Xu X. Ye T. Zhao H. Zha 262 15 0 30 Nov 2020
Linear Regression without Correspondences via Concave MinimizationIEEE Signal Processing Letters (IEEE SPL), 2020 Liangzu Peng M. Tsakiris 193 31 0 17 Mar 2020
R-local unlabeled sensing: A novel graph matching approach for multiview unlabeled sensing under local permutationsIEEE Open Journal of Signal Processing (JOSP), 2019 A. Abbasi Abiy Tasissa Shuchin Aeron 439 8 0 14 Nov 2019
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled DataJournal of Computational And Graphical Statistics (JCGS), 2019 M. Slawski Spyros Chatzivasileiadis E. Ben-David 103 30 0 03 Oct 2019
The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing from Multiple Measurement VectorsInternational Symposium on Information Theory (ISIT), 2019 Hang Zhang M. Slawski Ping Li 176 31 0 05 Sep 2019