On the public citation graph
Linear regression with sparsely permuted data
0 signed · 94 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119072454.ch4openalex-snapshot
Bias in data linkage studies
inferredcites →https://doi.org/10.1002/rsa.10073openalex-snapshot
An elementary proof of a theorem of Johnson and Lindenstrauss
inferredcites →https://doi.org/10.1002/sim.5498openalex-snapshot
Methods for analyzing data from probabilistic linkage strategies based on partially identifying variables
inferredcites →https://doi.org/10.1007/bfb0081737openalex-snapshot
On Milman's inequality and random subspaces which escape through a mesh in ℝ n
inferredcites →https://doi.org/10.1007/s00365-007-9003-xopenalex-snapshot
A Simple Proof of the Restricted Isometry Property for Random Matrices
inferredcites →https://doi.org/10.1007/s10208-012-9135-7openalex-snapshot
The Convex Geometry of Linear Inverse Problems
inferredcites →https://doi.org/10.1016/j.mcm.2005.05.026openalex-snapshot
Some assignment problems arising from multiple target tracking
inferredcites →https://doi.org/10.1017/cbo9780511794308.006openalex-snapshot
Introduction to the non-asymptotic analysis of random matrices
inferredcites →https://doi.org/10.1023/b:visi.0000025800.10423.1fopenalex-snapshot
SoftPOSIT: Simultaneous Pose and Correspondence Determination
inferredcites →https://doi.org/10.1080/01621459.2012.726889openalex-snapshot
A Bayesian Procedure for File Linking to Analyze End-of-Life Medical Costs
inferredcites →https://doi.org/10.1093/acprof:oso/9780199535255.001.0001openalex-snapshot
Concentration Inequalities
inferredcites →https://doi.org/10.1093/biomet/asr043openalex-snapshot
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
inferredcites →https://doi.org/10.1109/acssc.2009.5470141openalex-snapshot
Exact signal recovery from sparsely corrupted measurements through the Pursuit of Justice
inferredcites →https://doi.org/10.1109/isit.2017.8006567openalex-snapshot
Denoising linear models with permuted data
inferredcites →https://doi.org/10.1109/tit.2005.858979openalex-snapshot
Decoding by Linear Programming
inferredcites →https://doi.org/10.1109/tit.2012.2207945openalex-snapshot
Robust 1-bit Compressed Sensing and Sparse Logistic Regression: A Convex Programming Approach
inferredcites →https://doi.org/10.1109/tit.2012.2232347openalex-snapshot
Robust Lasso With Missing and Grossly Corrupted Observations
inferredcites →https://doi.org/10.1109/tit.2013.2293654openalex-snapshot
Corrupted Sensing: Novel Guarantees for Separating Structured Signals
inferredcites →https://doi.org/10.1109/tit.2016.2517008openalex-snapshot
The Generalized Lasso With Non-Linear Observations
inferredcites →https://doi.org/10.1109/tit.2017.2776217openalex-snapshot
Linear Regression With Shuffled Data: Statistical and Computational Limits of Permutation Recovery
inferredcites →https://doi.org/10.1109/tit.2018.2809002openalex-snapshot
Unlabeled Sensing With Random Linear Measurements
inferredcites →https://doi.org/10.1111/j.1467-9574.2011.00509.xopenalex-snapshot
Regression Analysis under Probabilistic Multi‐Linkage
inferredcites →https://doi.org/10.1198/016214504000001277openalex-snapshot
Regression Analysis With Linked Data
inferredcites →https://doi.org/10.1198/jasa.2011.tm10390openalex-snapshot
Outlier Detection Using Nonconvex Penalized Regression
inferredcites →https://doi.org/10.1214/08-aos620openalex-snapshot
Simultaneous analysis of Lasso and Dantzig selector
inferredcites →https://doi.org/10.1214/14-aos1223openalex-snapshot
Least quantile regression via modern optimization
inferredcites →https://doi.org/10.1214/15-aos1388openalex-snapshot
Best subset selection via a modern optimization lens
inferredcites →https://doi.org/10.1214/15-aos1426openalex-snapshot
Geometric inference for general high-dimensional linear inverse problems
inferredcites →https://doi.org/10.1214/aoms/1177703732openalex-snapshot
Robust Estimation of a Location Parameter
inferredcites →https://doi.org/10.1214/aos/1176344952openalex-snapshot
Estimation of the Correlation Coefficient from a Broken Random Sample
inferredcites →https://doi.org/10.1214/ecp.v17-2079openalex-snapshot
A tail inequality for quadratic forms of subgaussian random vectors
inferredcites →https://doi.org/10.3150/17-bej1000openalex-snapshot
Optimal rates of statistical seriation
inferredcites →https://doi.org/10.48550/arxiv.0912.4045openalex-snapshot
Restricted Eigenvalue Conditions on Subgaussian Random Matrices
inferredcites →https://doi.org/10.48550/arxiv.1310.4661openalex-snapshot
Minimax rates in permutation estimation for feature matching
inferredcites →https://doi.org/10.48550/arxiv.1705.07048openalex-snapshot
Linear regression without correspondence
inferredcites →https://doi.org/10.6092/issn.1973-2201/5821openalex-snapshot
Regression analysis with linked data: problems and possible solutions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4676435openalex-extracted
Shuffled Multi-Channel Sparse Signal Recovery
inferred← citeshttps://doi.org/10.1002/wics.1570openalex-snapshot
Regression with linked datasets subject to linkage error
inferred← citeshttps://doi.org/10.1002/wics.1596openalex-snapshot
Robust regression using probabilistically linked data
inferred← citeshttps://doi.org/10.1007/978-981-15-3870-4_5openalex-snapshot
Shuffled Linear Regression
inferred← citeshttps://doi.org/10.1007/s10107-022-01863-yopenalex-snapshot
Linear regression with partially mismatched data: local search with theoretical guarantees
inferred← citeshttps://doi.org/10.1007/s10994-021-06040-4openalex-snapshot
Provable training set debugging for linear regression
inferred← citeshttps://doi.org/10.1007/s11263-022-01709-2openalex-snapshot
Shuffled Linear Regression with Outliers in Both Covariates and Responses
inferred← citeshttps://doi.org/10.1016/j.acha.2021.06.008openalex-snapshot
Homomorphic sensing of subspace arrangements
inferred← citeshttps://doi.org/10.1016/j.acha.2024.101688openalex-snapshot
Matrix recovery from permutations
inferred← citeshttps://doi.org/10.1016/j.jsc.2025.102542openalex-snapshot
A field-theoretic view of unlabeled sensing
inferred← citeshttps://doi.org/10.1016/j.sigpro.2024.109579openalex-snapshot
Shuffled multi-channel sparse signal recovery
inferred← citeshttps://doi.org/10.1016/j.sigpro.2025.109927openalex-snapshot
Alternating minimization algorithm for unlabeled sensing and linked linear regression
inferred← citeshttps://doi.org/10.1080/01621459.2020.1713794openalex-snapshot
Optimal Permutation Recovery in Permuted Monotone Matrix Model
inferred← citeshttps://doi.org/10.1080/01621459.2020.1752219openalex-snapshot
Spherical Regression Under Mismatch Corruption With Application to Automated Knowledge Translation
inferred← citeshttps://doi.org/10.1080/02664763.2024.2337082openalex-snapshot
Matching a discrete distribution by Poisson matching quantiles estimation
inferred← citeshttps://doi.org/10.1080/10618600.2020.1870482openalex-snapshot
A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data
inferred← citeshttps://doi.org/10.1080/21681163.2023.2203266openalex-snapshot
Knee osteoarthritis classification using social wolf swarm-based deep convolutional neural network
inferred← citeshttps://doi.org/10.1093/jrsssa/qnae083openalex-snapshot
A general framework for regression with mismatched data based on mixture modelling
inferred← citeshttps://doi.org/10.1093/jssam/smad005openalex-snapshot
Implicates as Instrumental Variables: An Approach for Estimation and Inference with Probabilistically Matched Data
inferred← citeshttps://doi.org/10.1093/jssam/smaf011openalex-snapshot
Accounting for Mismatch Error in Small Area Estimation with Linked Data
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825493openalex-snapshot
Learning with Sparsely Permuted Data: A Robust Bayesian Approach
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11401627openalex-snapshot
Empirical Likelihood for Regression with Sparsely Permuted Data
inferred← citeshttps://doi.org/10.1109/icassp.2019.8682683openalex-snapshot
Algebraically-initialized Expectation Maximization for Header-free Communication
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747362openalex-snapshot
Mismatched Supervised Learning
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10445886openalex-snapshot
Unlabelled Sensing with Priors: Algorithm and Bounds
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888212openalex-snapshot
Cross-Channel Unlabeled Sensing over a Union of Signal Subspaces
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00641openalex-snapshot
Generalized Shuffled Linear Regression
inferred← citeshttps://doi.org/10.1109/iraset64571.2025.11007999openalex-snapshot
Evaluating Regression Models for Project Forecasting: A Comparative Analysis of Linear and Polynomial Approaches with Monte Carlo Simulations
inferred← citeshttps://doi.org/10.1109/isit44484.2020.9174229openalex-snapshot
Recovering Structure of Noisy Data through Hypothesis Testing
inferred← citeshttps://doi.org/10.1109/isit45174.2021.9517866openalex-snapshot
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators
inferred← citeshttps://doi.org/10.1109/isit54713.2023.10206879openalex-snapshot
Matrix Recovery from Permutations: An Algebraic Geometry Approach
inferred← citeshttps://doi.org/10.1109/isit57864.2024.10619515openalex-snapshot
Sharp Information-Theoretic Thresholds for Shuffled Linear Regression
inferred← citeshttps://doi.org/10.1109/jsait.2020.3041697openalex-snapshot
Recovering Data Permutations From Noisy Observations: The Linear Regime
inferred← citeshttps://doi.org/10.1109/lsp.2020.3019693openalex-snapshot
Linear Regression Without Correspondences via Concave Minimization
inferred← citeshttps://doi.org/10.1109/lsp.2025.3644669openalex-snapshot
Locally Shuffled Low Rank Column-Wise Sensing
inferred← citeshttps://doi.org/10.1109/ojsp.2021.3083479openalex-snapshot
R-Local Unlabeled Sensing: A Novel Graph Matching Approach for Multiview Unlabeled Sensing Under Local Permutations
inferred← citeshttps://doi.org/10.1109/tit.2020.2977166openalex-snapshot
An Algebraic-Geometric Approach for Linear Regression Without Correspondences
inferred← citeshttps://doi.org/10.1109/tit.2021.3127072openalex-snapshot
The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing From Multiple Measurement Vectors
inferred← citeshttps://doi.org/10.1109/tit.2026.3659093openalex-snapshot
A Computational Transition for Detecting Multivariate Shuffled Linear Regression by Low-Degree Polynomials
inferred← citeshttps://doi.org/10.1109/tsp.2025.3590466openalex-snapshot
Shuffled Linear Regression via Spectral Matching
inferred← citeshttps://doi.org/10.1145/3644391openalex-snapshot
A Taxonomy for Learning with Perturbation and Algorithms
inferred← citeshttps://doi.org/10.1145/3666000.3669674openalex-snapshot
Unlabeled Sensing Using Rank-One Moment Matrix Completion
inferred← citeshttps://doi.org/10.1214/22-ejs2076openalex-snapshot
Optimal detection of the feature matching map in presence of noise and outliers
inferred← citeshttps://doi.org/10.1561/2400000051openalex-snapshot
AltGDmin: Alternating GD and Minimization for Partly-decoupled (Federated) Optimization
inferred← citeshttps://doi.org/10.24010/soid.1417288openalex-snapshot
Turizm Gelirlerinin Çoklu Doğrusal Regresyon ile Analizi ve Gelecek Dönem Tahmin Modeli Oluşturma
inferred← citeshttps://doi.org/10.48084/etasr.15256openalex-snapshot
Leveraging RSSI and RTT for Accurate Distance Prediction in Bluetooth HC-05 with Multivariate Linear Regression Model
inferred← citeshttps://doi.org/10.48550/arxiv.1810.05679openalex-snapshot
Spherical Regression under Mismatch Corruption with Application to Automated Knowledge Translation
inferred← citeshttps://doi.org/10.48550/arxiv.1907.07148openalex-snapshot
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
inferred← citeshttps://doi.org/10.48550/arxiv.2006.09009openalex-snapshot
Provable Training Set Debugging for Linear Regression
inferred← citeshttps://doi.org/10.48550/arxiv.2012.00123openalex-snapshot
A Hypergradient Approach to Robust Regression without Correspondence
inferred← citeshttps://doi.org/10.48550/arxiv.2111.01767openalex-snapshot
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.