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Local Q-linear convergence and finite-time active set identification of ADMM on a class of penalized regression problems., , , and . ICASSP, page 4752-4756. IEEE, (2016)Improving Sparse Recovery on Structured Images with Bagged Clustering., , , and . PRNI, page 73-76. IEEE Computer Society, (2015)Fast brain decoding with random sampling and random projections., , and . PRNI, page 1-4. IEEE, (2016)Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity., , and . NIPS, page 595-603. (2016)Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning., , , , and . MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 607-615. Springer, (2013)Connectivity-Informed fMRI Activation Detection., , , , and . MICCAI (2), volume 6892 of Lecture Notes in Computer Science, page 285-292. Springer, (2011)Relating Brain Functional Connectivity to Anatomical Connections: Model Selection., , , , , , and . MLINI, volume 7263 of Lecture Notes in Computer Science, page 178-185. Springer, (2011)Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 385-394. PMLR, (2019)Mapping paradigm ontologies to and from the brain., , and . NIPS, page 1673-1681. (2013)Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example., , , , , , and . NeuroImage, (2017)