1.1k citations · 2.8k across the 33 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2018★ 40 cited
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi +5
Linear encoding of sparse vectors is widely popular, but is commonly data-independent -- missing any possible extra (but a priori unknown) structure beyond sparsity. In this paper…
stat.ML2015
Foundations of Coupled Nonlinear Dimensionality Reduction
Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus
In this paper we introduce and analyze the learning scenario of \emph{coupled nonlinear dimensionality reduction}, which combines two major steps of machine learning pipeline: proj…