42 citations · 81 across the 21 of their papers we have counts for
3 papers · 1 filter
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data
Martin Slawski, Guoqing Diao, Emanuel Ben-David
Recently, there has been significant interest in linear regression in the situation where predictors and responses are not observed in matching pairs corresponding to the same stat…
The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing from Multiple Measurement Vectors
Hang Zhang, Martin Slawski, Ping Li
In "Unlabeled Sensing", one observes a set of linear measurements of an underlying signal with incomplete or missing information about their ordering, which can be modeled in terms…
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
Martin Slawski, Emanuel Ben-David, Ping Li
A tacit assumption in linear regression is that (response, predictor)-pairs correspond to identical observational units. A series of recent works have studied scenarios in which th…