The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing
from Multiple Measurement Vectors

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The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing from Multiple Measurement Vectors

5 September 2019

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Papers citing "The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing from Multiple Measurement Vectors"

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Title
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators Hang Zhang Ping Li 56 6 0 20 Mar 2023
Shuffled linear regression through graduated convex relaxation Efe Onaran Soledad Villar 63 4 0 30 Sep 2022
Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics Minoh Jeong Alex Dytso Martina Cardone 95 4 0 07 May 2021
Homomorphic Sensing of Subspace Arrangements Liangzu Peng M. Tsakiris 35 13 0 09 Jun 2020
Linear Regression without Correspondences via Concave Minimization Liangzu Peng M. Tsakiris 63 30 0 17 Mar 2020
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data M. Slawski Spyros Chatzivasileiadis E. Ben-David 23 27 0 03 Oct 2019
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data M. Slawski E. Ben-David Ping Li 76 45 0 16 Jul 2019