Denoising Linear Models with Permuted Data

24 April 2017

Papers citing "Denoising Linear Models with Permuted Data"

15 / 15 papers shown

Title
Shuffled Linear Regression via Spectral Matching Hang Liu Anna Scaglione 30 0 0 30 Sep 2024
Shuffled total least squares Qian Wang D. Sussman 25 2 0 02 Sep 2022
Modeling and Correcting Bias in Sequential Evaluation Jingyan Wang A. Pananjady 16 2 0 03 May 2022
One-Way Matching of Datasets with Low Rank Signals Shuxiao Chen Sizun Jiang Zongming Ma Garry P. Nolan Bokai Zhu 23 10 0 29 Apr 2022
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group Zhenbang Wang E. Ben-David M. Slawski 24 3 0 02 Nov 2021
Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics Minoh Jeong Alex Dytso Martina Cardone 11 4 0 07 May 2021
A Hypergradient Approach to Robust Regression without Correspondence Yujia Xie Yongyi Mao Simiao Zuo Hongteng Xu X. Ye T. Zhao H. Zha 26 15 0 30 Nov 2020
Extreme Multi-label Classification from Aggregated Labels Yanyao Shen Hsiang-Fu Yu Sujay Sanghavi Inderjit Dhillon 13 8 0 01 Apr 2020
R-local unlabeled sensing: A novel graph matching approach for multiview unlabeled sensing under local permutations A. Abbasi Abiy Tasissa Shuchin Aeron 11 6 0 14 Nov 2019
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data M. Slawski E. Ben-David Ping Li 24 45 0 16 Jul 2019
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations Cheng Mao A. Pananjady Martin J. Wainwright 18 13 0 25 Jun 2018
Minimax Rates and Efficient Algorithms for Noisy Sorting Cheng Mao Jonathan Niles-Weed Philippe Rigollet 30 40 0 28 Oct 2017
Linear Regression with Sparsely Permuted Data M. Slawski E. Ben-David 34 71 0 16 Oct 2017
Linear regression without correspondence Daniel J. Hsu K. Shi Xiaorui Sun 27 82 0 19 May 2017
Universal Joint Image Clustering and Registration using Partition Information R. Raman L. Varshney 24 3 0 10 Jan 2017