Martin Slawski

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All published works

Action	Title	Year	Authors
+	A general framework for regression with mismatched data based on mixture modelling	2024	Martin Slawski Brady T. West Priyanjali Bukke Zhenbang Wang Guoqing Diao Emanuel Ben‐David
+ PDF Chat	Accounting for Mismatch Error in Small Area Estimation with Linked Data	2024	Enrico Fabrizi Nicola Salvati Martin Slawski
+	pldamixture: Post-Linkage Data Analysis Based on Mixture Modelling	2024	Priyanjali Bukke Zhenbang Wang Martin Slawski Brady T. West Emanuel Ben‐David Guoqing Diao
+ PDF Chat	Estimation in exponential family regression based on linked data contaminated by mismatch error	2023	Zhenbang Wang Emanuel Ben‐David Martin Slawski
+	A General Framework for Regression with Mismatched Data Based on Mixture Modeling	2023	Martin Slawski Brady T. West Priyanjali Bukke Guoqing Diao Zhenbang Wang Emanuel Ben‐David
+	A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data	2022	Martin Slawski Guoqing Diao Emanuel Ben‐David
+	Tensor Completion for Causal Inference with Multivariate Longitudinal Data: A Reevaluation of COVID-19 Mandates	2022	Jonathan Auerbach Martin Slawski Shixue Zhang
+	Permuted and Unlinked Monotone Regression in $\mathbb{R}^d$: an approach based on mixture modeling and optimal transport	2022	Martin Slawski Bodhisattva Sen
+	A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data	2022	Martin Slawski Guoqing Diao Emanuel Ben‐David
+	A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data	2022	Martin Slawski Guoqing Diao Emanuel Ben‐David
+	A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data	2022	Martin Slawski Guoqing Diao Emanuel Ben‐David
+	A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data	2022	Martin Slawski Guoqing Diao Emanuel Ben‐David
+ PDF Chat	The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing From Multiple Measurement Vectors	2021	Hang Zhang Martin Slawski Ping Li
+	Regression with linked datasets subject to linkage error	2021	Zhenbang Wang Emanuel Ben‐David Guoqing Diao Martin Slawski
+ PDF Chat	A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data	2021	Martin Slawski Guoqing Diao Emanuel Ben‐David
+	Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group	2021	Zhenbang Wang Emanuel Ben‐David Martin Slawski
+ PDF Chat	Asynchronous Online Federated Learning for Edge Devices with Non-IID Data	2020	Yujing Chen Yue Ning Martin Slawski Huzefa Rangwala
+	Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data	2020	Martin Slawski Emanuel Ben‐David Ping Li
+ PDF Chat	Order-Constrained ROC Regression With Application to Facial Recognition	2020	Xiaochen Zhu Martin Slawski P. Jonathon Phillips Liansheng Tang
+	Estimation in exponential family Regression based on linked data contaminated by mismatch error	2020	Zhenbang Wang Emanuel Ben‐David Martin Slawski
+	Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing	2019	Hang Zhang Martin Slawski Ping Li
+ PDF Chat	A note on coding and standardization of categorical variables in (sparse) group lasso regression	2019	Felicitas J. Detmer Juan R. Cebral Martin Slawski
+	A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data	2019	Martin Slawski Emanuel Ben‐David Ping Li
+	Linear regression with sparsely permuted data	2019	Martin Slawski Emanuel Ben‐David
+	A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels.	2019	Martin Slawski Mostafa Rahmani Ping Li
+	The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing from Multiple Measurement Vectors	2019	Hang Zhang Martin Slawski Li Ping
+	Asynchronous Online Federated Learning for Edge Devices with Non-IID Data	2019	Yujing Chen Yue Ning Martin Slawski Huzefa Rangwala
+	A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data	2019	Martin Slawski Guoqing Diao Emanuel Ben‐David
+ PDF Chat	Methods for Sparse and Low-Rank Recovery under Simplex Constraints	2018	Ping Li Syama Sundar Rangapuram Martin Slawski
+	A Note on Coding and Standardization of Categorical Variables in (Sparse) Group Lasso Regression	2018	Felicitas J. Detmer Martin Slawski
+	On the Trade-Off Between Bit Depth and Number of Samples for a Basic Approach to Structured Signal Recovery From <inline-formula> <tex-math notation="LaTeX">$b$ </tex-math> </inline-formula>-Bit Quantized Linear Measurements	2018	Martin Slawski Ping Li
+	On principal components regression, random projections, and column subsampling	2018	Martin Slawski
+	A Note on Coding and Standardization of Categorical Variables in (Sparse) Group Lasso Regression	2018	Felicitas J. Detmer Martin Slawski
+	Linear Regression with Sparsely Permuted Data	2017	Martin Slawski Emanuel Ben‐David
+	On Principal Components Regression, Random Projections, and Column Subsampling	2017	Martin Slawski
+	Linear Regression with Sparsely Permuted Data	2017	Martin Slawski Emanuel Ben‐David
+	On Principal Components Regression, Random Projections, and Column Subsampling	2017	Martin Slawski
+	Methods for Sparse and Low-Rank Recovery under Simplex Constraints	2016	Ping Li Syama Sundar Rangapuram Martin Slawski
+	Linear signal recovery from $b$-bit-quantized linear measurements: precise analysis of the trade-off between bit depth and number of measurements	2016	Martin Slawski Ping Li
+	Regularization-free estimation in trace regression with symmetric positive semidefinite matrices	2015	Martin Slawski Ping Li Matthias Hein
+	Estimation of positive definite M-matrices and structure learning for attractive Gaussian Markov random fields	2014	Martin Slawski Matthias Hein
+	Estimation of positive definite M-matrices and structure learning for attractive Gaussian Markov Random fields	2014	Martin Slawski Matthias Hein
+	Matrix factorization with Binary Components	2014	Martin Slawski Matthias Hein Pavlo Lutsik
+	Estimation of positive definite M-matrices and structure learning for attractive Gaussian Markov Random fields	2014	Martin Slawski Matthias Hein
+	Matrix factorization with Binary Components	2014	Martin Slawski Matthias Hein Pavlo Lutsik
+ PDF Chat	Non-negative least squares for high-dimensional linear models: Consistency and sparse recovery without regularization	2013	Martin Slawski Matthias Hein
+	Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization	2012	Martin Slawski Matthias Hein
+	Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization	2012	Martin Slawski Matthias Hein
+	Sparse recovery by thresholded non-negative least squares	2011	Martin Slawski Matthias Hein
+	The structured elastic net for quantile regression and support vector classification	2010	Martin Slawski
+ PDF Chat	Feature selection guided by structural information	2010	Martin Slawski Wolfgang zu Castell Gerhard Tutz

Common Coauthors

Coauthor	Papers Together
Emanuel Ben‐David	19
Guoqing Diao	11
Matthias Hein	10
Ping Li	8
Zhenbang Wang	7
Priyanjali Bukke	3
Brady T. West	3
Hang Zhang	3
Felicitas J. Detmer	3
Syama Sundar Rangapuram	2
Huzefa Rangwala	2
Yujing Chen	2
Yue Ning	2
Pavlo Lutsik	2
Mostafa Rahmani	1
Xiaochen Zhu	1
Wolfgang zu Castell	1
Liansheng Tang	1
Gerhard Tutz	1
Bodhisattva Sen	1
P. Jonathon Phillips	1
Shixue Zhang	1
Enrico Fabrizi	1
Nicola Salvati	1
Jonathan Auerbach	1
Juan R. Cebral	1
Ping Li	1
Ping Li	1
Li Ping	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Regression Analysis With Linked Data	2005	Partha Lahiri Michael Larsen	11
+	Linear regression with sparsely permuted data	2019	Martin Slawski Emanuel Ben‐David	11
+ PDF Chat	Estimation of the Correlation Coefficient from a Broken Random Sample	1980	Morris H. DeGroot Prem K. Goel	10
+ PDF Chat	Unlabeled Sensing With Random Linear Measurements	2018	Jayakrishnan Unnikrishnan Saeid Haghighatshoar Martin Vetterli	8
+	Linear Regression with Shuffled Labels	2017	Abubakar Abid Ada S. Y. Poon James Zou	8
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	7
+	An elementary proof of a theorem of Johnson and Lindenstrauss	2002	Sanjoy Dasgupta Anupam Gupta	7
+ PDF Chat	A Bayesian Procedure for File Linking to Analyze End-of-Life Medical Costs	2012	Roee Gutman Christopher C. Afendulis Alan M. Zaslavsky	7
+ PDF Chat	Robust 1-bit Compressed Sensing and Sparse Logistic Regression: A Convex Programming Approach	2012	Yaniv Plan Roman Vershynin	7
+ PDF Chat	Uncoupled isotonic regression via minimum Wasserstein deconvolution	2019	Philippe Rigollet Jonathan Weed	7
+ PDF Chat	Spherical Regression Under Mismatch Corruption With Application to Automated Knowledge Translation	2020	Xu Shi Xiaoou Li Tianxi Cai	7
+	Improved Secondary Analysis of Linked Data: A Framework and an Illustration	2019	Ray Chambers Andréa Diniz da Silva	6
+	The Effect of Mismatching on the Measurement of Response Errors	1965	John Neter E. Scott Maynes R. Ramanathan	6
+ PDF Chat	Denoising linear models with permuted data	2017	Ashwin Pananjady Martin J. Wainwright Thomas A. Courtade	6
+ PDF Chat	Banach-Mazur Distances and Projections on Random Subgaussian Polytopes	2007	Rafał Latała Piotr Mankiewicz Krzysztof Oleszkiewicz Nicole Tomczak-Jaegermann	6
+	Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing	2019	Hang Zhang Martin Slawski Ping Li	6
+ PDF Chat	Outlier Detection Using Nonconvex Penalized Regression	2011	Yiyuan She Art B. Owen	6
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	5
+	Eigenspace conditions for homomorphic sensing	2018	Manolis C. Tsakiris	5
+	Linear regression without correspondence	2017	Daniel Hsu Kevin Shi Xiaorui Sun	5
+ PDF Chat	Signal recovery from unlabeled samples	2017	Saeid Haghighatshoar Giuseppe Caire	5
+ PDF Chat	Regression Modeling and File Matching Using Possibly Erroneous Matching Variables	2018	Nicole M. Dalzell Jerome P. Reiter	5
+	Denoising Linear Models with Permuted Data	2017	Ashwin Pananjady Martin J. Wainwright Thomas A. Courtade	5
+	Iterative hard thresholding for compressed sensing	2009	Thomas Blumensath Mike E. Davies	5
+	Gaussian Markov Random Fields	2005	Håvard Rue Leonhard Held	5
+ PDF Chat	The broken sample problem	2004	Zhidong Bai Tailen Hsing	5
+ PDF Chat	Introduction to the non-asymptotic analysis of random matrices	2012	Roman Vershynin	5
+ PDF Chat	Robust Lasso With Missing and Grossly Corrupted Observations	2012	Nam Nguyen Trac D. Tran	4
+ PDF Chat	A tail inequality for quadratic forms of subgaussian random vectors	2012	Daniel Hsu Sham M. Kakade Tong Zhang	4
+	Permutations Unlabeled Beyond Sampling Unknown	2019	Ivan Dokmanić	4
+	Stochastic EM for Shuffled Linear Regression	2018	Abubakar Abid James Zou	4
+ PDF Chat	Statistical Analysis with Linked Data	2018	Ying Han Partha Lahiri	4
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	4
+	Linear regression without correspondence	2017	Daniel Hsu Kevin Shi Xiaorui Sun	4
+ PDF Chat	A Simple Proof of the Restricted Isometry Property for Random Matrices	2008	Richard G. Baraniuk Mark A. Davenport Ronald DeVore Michael B. Wakin	4
+	High-Dimensional Probability: An Introduction with Applications in Data Science	2018	Roman Vershynin	4
+	Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data	2020	Martin Slawski Emanuel Ben‐David Ping Li	4
+ PDF Chat	High-dimensional generalized linear models and the lasso	2008	Sara A. van de Geer	4
+ PDF Chat	One‐Bit Compressed Sensing by Linear Programming	2013	Yaniv Plan Roman Vershynin	4
+	Methods for analyzing data from probabilistic linkage strategies based on partially identifying variables	2012	Michel H. Hof Aeilko H. Zwinderman	4
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	4
+	On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations	2008	Alfred M. Bruckstein⋆ Michael Elad Michael Zibulevsky	4
+	Sparse recovery by thresholded non-negative least squares	2011	Martin Slawski Matthias Hein	4
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	4
+	Learning Relationships between Data Obtained Independently	2016	Alexandra Carpentier Teresa Schlueter	4
+ PDF Chat	Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications	2009	David L. Donoho Jared Tanner	4
+ PDF Chat	Sign-constrained least squares estimation for high-dimensional regression	2013	Nicolai Meinshausen	4
+	Persistence in high-dimensional linear predictor selection and the virtue of overparametrization	2004	Eitan Greenshtein Ya’acov Ritov	4
+ PDF Chat	Conditions for a unique non-negative solution to an underdetermined system	2009	Meng Wang Ao Tang	4
+ PDF Chat	Optimal Permutation Recovery in Permuted Monotone Matrix Model	2020	Rong Ma Tommaso Cai Hongzhe Li	4