Charles Dossal

According to our database1, Charles Dossal authored at least 29 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
FISTA is an automatic geometrically optimized algorithm for strongly convex functions.
Math. Program., March, 2024

Stochastic Differential Equations for Modeling First Order Optimization Methods.
SIAM J. Optim., 2024

Parameter-Free FISTA by Adaptive Restart and Backtracking.
SIAM J. Optim., 2024

2023
Convergence rates of the Heavy-Ball method under the Łojasiewicz property.
Math. Program., March, 2023

2022
Convergence Rates of the Heavy Ball Method for Quasi-strongly Convex Optimization.
SIAM J. Optim., September, 2022

2021
Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions.
Math. Program., 2021

Overrelaxed Sinkhorn-Knopp Algorithm for Regularized Optimal Transport.
Algorithms, 2021

2020
Convergence Rates of Damped Inertial Dynamics under Geometric Conditions and Perturbations.
SIAM J. Optim., 2020

Convergence rate of inertial Forward-Backward algorithm beyond Nesterov's rule.
Math. Program., 2020

2019
Optimal Convergence Rates for Nesterov Acceleration.
SIAM J. Optim., 2019

2018
The Differential Inclusion Modeling FISTA Algorithm and Optimality of Convergence Rate in the Case b $\leq3$.
SIAM J. Optim., 2018

2017
Sampling the Fourier Transform Along Radial Lines.
SIAM J. Numer. Anal., 2017

2016
Identifiability for Gauge Regularizations and Algorithms for Block-Sparse Synthesis in Compressive Sensing.
Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016

Sparse-Based Morphometry: Principle and Application to Alzheimer's Disease.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

2015
Stability of Over-Relaxations for the Forward-Backward Algorithm, Application to FISTA.
SIAM J. Optim., 2015

On the Convergence of the Iterates of the "Fast Iterative Shrinkage/Thresholding Algorithm".
J. Optim. Theory Appl., 2015

Optimal Dual Certificates for Noise Robustness Bounds in Compressive Sensing.
J. Math. Imaging Vis., 2015

Identifiability and Noise Robustness for l1-Analysis Regularizations in Compressive Sensing.
Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015

2014
An Evaluation of the Sparsity Degree for Sparse Recovery with Deterministic Measurement Matrices.
J. Math. Imaging Vis., 2014

The Degrees of Freedom of Partly Smooth Regularizers.
CoRR, 2014

Lipschitz Bounds for Noise Robustness in Compressive Sensing: Two Algorithms.
Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014

2013
Robust Sparse Analysis Regularization.
IEEE Trans. Inf. Theory, 2013

2012
The degrees of freedom of the Group Lasso for a General Design
CoRR, 2012

Risk estimation for matrix recovery with spectral regularization
CoRR, 2012

Unbiased risk estimation for sparse analysis regularization.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

A greedy algorithm to extract sparsity degree for ℓ1/ℓ0-equivalence in a deterministic context.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Bandlet image estimation with model selection.
Signal Process., 2011

The degrees of freedom of penalized l1 minimization
CoRR, 2011

Sharp Support Recovery from Noisy Random Measurements by L1 minimization
CoRR, 2011


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