1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations
Marshall Mueller, James M. Murphy, Abiy Tasissa
Linear representation learning is widely studied due to its conceptual simplicity and empirical utility in tasks such as compression, classification, and feature extraction. Given…
stat.ML2023★ 1 cited
Estimation of entropy-regularized optimal transport maps between non-compactly supported measures
Matthew Werenski, James M. Murphy, Shuchin Aeron
This paper addresses the problem of estimating entropy-regularized optimal transport (EOT) maps with squared-Euclidean cost between source and target measures that are subGaussian.…