169 citations · 272 across the 4 of their papers we have counts for
4 papers
Total-variation regularization strategies in full-waveform inversion
Ernie Esser, Lluis Guasch, Tristan van Leeuwen +2
We propose an extended full-waveform inversion formulation that includes general convex constraints on the model. Though the full problem is highly nonconvex, the overarching optim…
Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems
Tom Goldstein, Min Li, Xiaoming Yuan +2
The Primal-Dual hybrid gradient (PDHG) method is a powerful optimization scheme that breaks complex problems into simple sub-steps. Unfortunately, PDHG methods require the user to…
A Method for Finding Structured Sparse Solutions to Non-negative Least Squares Problems with Applications
Ernie Esser, Yifei Lou, Jack Xin
Demixing problems in many areas such as hyperspectral imaging and differential optical absorption spectroscopy (DOAS) often require finding sparse nonnegative linear combinations o…
A convex model for non-negative matrix factorization and dimensionality reduction on physical space
Ernie Esser, Michael Möller, Stanley Osher +2
A collaborative convex framework for factoring a data matrix into a non-negative product , with a sparse coefficient matrix , is proposed. We restrict the columns of the…