
An algorithm for nonconvex offthegrid sparse spike estimation with a minimum separation constraint
Theoretical results show that sparse offthegrid spikes can be estimate...
read it

The basins of attraction of the global minimizers of nonconvex inverse problems with lowdimensional models in infinite dimension
Nonconvex methods for linear inverse problems with lowdimensional mode...
read it

Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling
We provide statistical learning guarantees for two unsupervised learning...
read it

The basins of attraction of the global minimizers of the nonconvex sparse spikes estimation problem
The sparse spike estimation problem consists in estimating a number of o...
read it

Is the 1norm the best convex sparse regularization?
The 1norm is a good convex regularization for the recovery of sparse ve...
read it

Optimality of 1norm regularization among weighted 1norms for sparse recovery: a case study on how to find optimal regularizations
The 1norm was proven to be a good convex regularizer for the recovery o...
read it

Compressive Statistical Learning with Random Feature Moments
We describe a general framework compressive statistical learning for...
read it

Compressive Kmeans
The LloydMax algorithm is a classical approach to perform Kmeans clust...
read it

Phase Unmixing : Multichannel Source Separation with Magnitude Constraints
We consider the problem of estimating the phases of K mixed complex sign...
read it
Yann Traonmilin
is this you? claim profile