Sparse group lasso: Consistency and climate applications, Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012, vol.12, p.2012 ,
Group lasso with overlap and graph lasso, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pp.433-440, 2009. ,
Estimating the location and orientation of complex, correlated neural activity using MEG, NIPS, pp.1777-1784, 2009. ,
Multitask Learning: A Knowledge-Based Source of Inductive Bias, Proceedings of the Tenth International Conference on Machine Learning, 1993. ,
Regression shrinkage and selection via the Lasso, J. Roy. Statist. Soc. Ser. B, vol.58, issue.1, pp.267-288, 1996. ,
Simultaneous analysis of Lasso and Dantzig selector, Ann. Statist, vol.37, issue.4, pp.1705-1732, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00401585
Convex optimization with sparsity-inducing norms. Optimization for Machine Learning, pp.19-53, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00937150
Multi-task feature learning, 2007. ,
Multi-task feature selection, ICML. Workshop of structural Knowledge Transfer for Machine Learning, 2006. ,
Joint support recovery under high-dimensional scaling: Benefits and perils of l1,? regularization. NIPS, 2008. ,
Fast optimal transport averaging of neuroimaging data, IPMI 2015, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01135198
, Sinkhorn Distances: Lightspeed Computation of Optimal Transport. NIPS, 2013.
Scaling Algorithms for Unbalanced Transport Problems, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01434914
, A Dirty Model for Multi-task Learning. NIPS, 2010.
Multi-level Lasso for Sparse Multi-task Regression, ICML, 2012. ,
A probabilistic model for dirty multi-task feature selection, Proceedings of the 32nd International Conference on Machine Learning, vol.37, pp.7-09, 2015. ,
Learning tree structure in multi-task learning, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '15, pp.397-406, 2015. ,
A convex feature learning formulation for latent task structure discovery, 2012. ,
Heat flow with dirichlet boundary conditions via optimal transport and gluing of metric measure spaces, 2018. ,
A description of transport cost for signed measures, Journal of Mathematical Sciences, vol.181, issue.6, pp.837-855, 2012. ,
Learning with a wasserstein loss, Advances in Neural Information Processing Systems, pp.2053-2061, 2015. ,
Barycenters in the Wasserstein space, SIAM, vol.43, issue.2, pp.904-924, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00637399
Convergence of a block coordinate descent method for nondifferentiable minimization, J. Optim. Theory Appl, vol.109, issue.3, pp.475-494, 2001. ,
Accelerated, parallel and proximal coordinate descent, SIAM Journal on Optimization, vol.25, 1997. ,
URL : https://hal.archives-ouvertes.fr/hal-02287265
Stabilized sparse scaling algorithms for entropy regularized transport problems, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01385251
Convolutional Wasserstein distances: Efficient optimal transportation on geometric domains, ACM Trans. Graph, vol.34, issue.4, pp.1-66, 2015. ,
, Wasserstein Dictionary Learning: Op