Author

Lorenzo Rosasco

Observed names: L. Rosasco, LORENZO ROSASCO, Lecturer Lorenzo Rosasco, Lorenzo Rosasco] Z, ROSASCO, LORENZO, Rosasco L, Rosasco L., Rosasco Lorenzo, Rosasco, Lorenzo

Institutions: Italian Institute of Technology, Massachusetts Institute of Technology, University of Genoa

Observed institutions: Claremont Graduate University, Austrian Academy of Sciences, McGovern Institute for Brain Research, Duke University, Italian Institute of Technology, IIT@MIT, Johann Radon Institute for Computational and Applied Mathematics, MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, University of Genoa

ORCID: 0000-0003-3098-383X

Observed ORCID: 0000-0003-3098-383X

OpenAlex ID: A5061220999

On Early Stopping in Gradient Descent Learning

2007 · Yuan Yao, Lorenzo Rosasco, et al. · Constructive Approximation · 1,038

Holographic Embeddings of Knowledge Graphs

2016 · Nickel, Maximilian, Rosasco, Lorenzo, et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 1,000

Kernels for Vector-Valued Functions: A Review

2012 · Mauricio A. Álvarez, Lorenzo Rosasco, et al. · now publishers, Inc. eBooks · 912

Holographic Embeddings of Knowledge Graphs

2016 · Maximilian Nickel, Lorenzo Rosasco, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 612

Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review

2017 · Tomaso Poggio, Hrushikesh Mhaskar, et al. · Machine Intelligence Research · 611

Are Loss Functions All the Same?

2004 · Lorenzo Rosasco, Ernesto De Vito, et al. · Neural Computation · 514

Elastic-net regularization in learning theory

2009 · Christine De Mol, Ernesto De Vito, et al. · Journal of Complexity · 332

On regularization algorithms in learning theory

2006 · Frank Bauer, Sergei Pereverzev, et al. · Journal of Complexity · 283

Generalization Properties of Learning with Random Features

2016 · Rudi, Alessandro, Rosasco, Lorenzo · arXiv (Cornell University) · 210

Learning from Examples as an Inverse Problem

2005 · Ernesto De Vito, Lorenzo Rosasco, et al. · 186

Unsupervised learning of invariant representations

2015 · Fabio Anselmi, Joel Z. Leibo, et al. · Theoretical Computer Science · 171

Model Selection for Regularized Least-Squares Algorithm in Learning Theory

2004 · E. De Vito, A. Caponnetto, et al. · Foundations of Computational Mathematics · 164

On Learning with Integral Operators

2010 · Lorenzo Rosasco, Mikhail A. Belkin, et al. · 163

Spectral Algorithms for Supervised Learning

2008 · L. Lo Gerfo, L. Rosasco, et al. · Neural Computation · 133

Convergence of Stochastic Proximal Gradient Algorithm

2019 · Lorenzo Rosasco, Silvia Villa, et al. · Applied Mathematics & Optimization · 130

Theory of Deep Learning III: explaining the non-overfitting puzzle

2017 · Poggio, Tomaso, Kawaguchi, Kenji, et al. · arXiv (Cornell University) · 112

A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients

2010 · Paolo Fardin, Annalisa Barla, et al. · Molecular Cancer · 102

Some Properties of Regularized Kernel Methods

2004 · Ernesto De Vito, Lorenzo Rosasco, et al. · 88

Less is More: Nyström Computational Regularization

2015 · Rudi, Alessandro, Camoriano, Raffaello, et al. · arXiv (Cornell University) · 86

Solving Structured Sparsity Regularization with Proximal Methods

2010 · Sofia Mosci, Lorenzo Rosasco, et al. · Lecture notes in computer science · 86

Iterative Projection Methods for Structured Sparsity Regularization

2009 · Lorenzo Rosasco, Alessandro Verri, et al. · DSpace@MIT (Massachusetts Institute of Technology) · 85

FALKON: An Optimal Large Scale Kernel Method

2017 · Rudi, Alessandro, Carratino, Luigi, et al. · arXiv (Cornell University) · 84

Multiscale geometric methods for data sets I: Multiscale SVD, noise and curvature

2016 · Anna V. Little, Mauro Maggioni, et al. · Applied and Computational Harmonic Analysis · 76

On invariance and selectivity in representation learning

2016 · Fabio Anselmi, Lorenzo Rosasco, et al. · Information and Inference A Journal of the IMA · 75

Nonparametric sparsity and regularization

2012 · Rosasco, Lorenzo, Villa, Silvia, et al. · arXiv (Cornell University) · 75

Works count: 352

Citation count: 10,920

H-index: 45

I10-index: 135