Publications

. Maximal solutions of sparse analysis regularization. J. Optim. Theory. Appl., 2019.

PDF DOI arXiv

. Refitting solutions promoted by ℓ12 sparse analysis regularization with block penalties. International Conference on Scale Space and Variational Methods in Computer Vision (to appear), 2019.

arXiv

. Is the 1-norm the best convex sparse regularization?. international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST’18), 2018.

PDF arXiv

. Model Consistency of Partly Smooth Regularizers. IEEE Trans. Inform. Theory, 2018.

PDF DOI arXiv

. Accelerated Alternating Descent Methods for Dykstra-like problems. J. Math. Imaging. Vis., 2017.

PDF DOI HAL Source Code

. A Sharp Oracle Inequality for Graph-Slope. Electron. J. Statist., 2017.

PDF DOI arXiv Source Code

. The Degrees of Freedom of Partly Smooth Regularizers. Ann. Inst. Stat. Math., 2017.

PDF DOI arXiv

. Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergence. SPARS 2017 (Signal Processing with Adaptive Sparse Structured Representations), 2017.

PDF HAL

. CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration. SIAM J. Imaging Sci., 2017.

PDF DOI arXiv

. Model Selection with Low Complexity Priors. Inf. Inference, 2015.

PDF DOI arXiv Prize

. Low Complexity Regularization of Linear Inverse Problems. Sampling Theory, a Renaissance, 2015.

PDF DOI arXiv

. Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection. SIAM J. Imaging Sci., 2014.

PDF DOI arXiv Source Code

. Local Behavior of Sparse Analysis Regularization: Applications to Risk Estimation. Appl. Comput. Harmon. Anal., 2013.

PDF DOI arXiv

. Robustesse au bruit des régularisations polyhédrales. Colloque sur le Traitement du Signal et des Images (GRETSI’13), 2013.

PDF HAL

. Reconstruction Stable par Régularisation Décomposable Analyse. Colloque sur le Traitement du Signal et des Images (GRETSI’13), 2013.

PDF HAL

. The degrees of freedom of the group Lasso for a general design. SPARS 2013 (Signal Processing with Adaptive Sparse Structured Representations), 2013.

PDF HAL

. Stable Recovery with Analysis Decomposable Priors. 10th International Conference on Sampling Theory and Applications (SampTA 2013), 2013.

PDF arXiv

. Stable Recovery with Analysis Decomposable Priors. SPARS 2013 (Signal Processing with Adaptive Sparse Structured Representations), 2013.

PDF HAL

. Robust Polyhedral Regularization. 10th international conference on Sampling Theory and Applications (SampTA 2013), 2013.

PDF arXiv

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

PDF DOI arXiv Source Code

. Unbiased Risk Estimation for Sparse Analysis Regularization. Proc. ICIP’12, 2012.

PDF DOI HAL

. Proximal Splitting Derivatives for Risk Estimation. J. Phys.: Conf. Ser., 2012.

PDF DOI HAL

. The Degrees of Freedom of the Group Lasso. International Conference on Machine Learning Workshop (ICML), 2012.

PDF arXiv

. Risk estimation for matrix recovery with spectral regularization. International Conference on Machine Learning Workshop (ICML), 2012.

PDF arXiv