 Sparse Recovery with Shuffled Labels: Statistical Limits and Practical
EstimatorsInternational Symposium on Information Theory (ISIT), 2021 |
 Regularization for Shuffled Data Problems via Exponential Family Priors
on the Permutation GroupInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Retrieving Data Permutations from Noisy Observations: High and Low Noise
AsymptoticsInternational Symposium on Information Theory (ISIT), 2021 |
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 Linear Regression without Correspondences via Concave MinimizationIEEE Signal Processing Letters (IEEE SPL), 2020 |
 A Pseudo-Likelihood Approach to Linear Regression with Partially
Shuffled DataJournal of Computational And Graphical Statistics (JCGS), 2019 |
