activity
20122022
most citedOn instabilities of deep learning in image reconstruction - Does AI come at a cost?

795 citations · 993 across the 20 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

stat.ML2021★ 1 cited

Smooth Bilevel Programming for Sparse Regularization

Clarice Poon, Gabriel Peyré

Iteratively reweighted least square (IRLS) is a popular approach to solve sparsity-enforcing regression problems in machine learning. State of the art approaches are more efficient…

cs.LG2021

Screening for Sparse Online Learning

Jingwei Liang, Clarice Poon

Sparsity promoting regularizers are widely used to impose low-complexity structure (e.g. l1-norm for sparsity) to the regression coefficients of supervised learning. In the realm o…