Alessandro Verri

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Rudi A, De Vito E, Verri A, et al. (2017) Regularized Kernel Algorithms for Support Estimation Frontiers in Applied Mathematics and Statistics. 3
Stagliano A, Noceti N, Verri A, et al. (2015) Online space-variant background modeling with sparse coding. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 24: 2415-28
Salzo S, Masecchia S, Verri A, et al. (2014) Alternating proximal regularized dictionary learning. Neural Computation. 26: 2855-95
Villa S, Rosasco L, Mosci S, et al. (2014) Proximal methods for the latent group lasso penalty Computational Optimization and Applications. 58: 381-407
Zycinski G, Barla A, Squillario M, et al. (2013) Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data. Source Code For Biology and Medicine. 8: 2
Villa S, Salzo S, Baldassarre L, et al. (2013) Accelerated and inexact forward-backward algorithms Siam Journal On Optimization. 23: 1607-1633
Rosasco L, Villa S, Mosci S, et al. (2013) Nonparametric sparsity and regularization Journal of Machine Learning Research. 14: 1665-1714
Mosci S, Rosasco L, Santoro M, et al. (2012) Is there sparsity beyond additive models? Ifac Proceedings Volumes (Ifac-Papersonline). 16: 971-976
Villa S, Rosasco L, Mosci S, et al. (2012) Consistency of learning algorithms using Attouch-Wets convergence Optimization. 61: 287-305
Baldassarre L, Rosasco L, Barla A, et al. (2012) Multi-output learning via spectral filtering Machine Learning. 87: 259-301