Alessandro Rudi
Alessandro Rudi
INRIA - École Normale Supérieure
Verifierad e-postadress på inria.fr - Startsida
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Less is More: Nyström Computational Regularization
A Rudi, R Camoriano, L Rosasco
Advances in Neural Information Processing Systems (NIPS) 2015, 2015
1522015
Generalization Properties of Learning with Random Features
A Rudi, L Rosasco
Advances in Neural Information Processing Systems, 2017
1262017
Falkon: An optimal large scale kernel method
A Rudi, L Carratino, L Rosasco
Advances in Neural Information Processing Systems, 3888-3898, 2017
652017
A general method for the point of regard estimation in 3D space
F Pirri, M Pizzoli, A Rudi
CVPR 2011, 921-928, 2011
572011
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
G Luise, A Rudi, M Pontil, C Ciliberto
Advances in Neural Information Processing Systems, 2018
382018
A consistent regularization approach for structured prediction
C Ciliberto, L Rosasco, A Rudi
Advances in neural information processing systems, 4412-4420, 2016
332016
Optimal rates for spectral algorithms with least-squares regression over hilbert spaces
J Lin, A Rudi, L Rosasco, V Cevher
Applied and Computational Harmonic Analysis 48 (3), 868-890, 2020
31*2020
Learning with SGD and Random Features
L Carratino, A Rudi, L Rosasco
Advances in Neural Information Processing Systems, 2018
272018
On fast leverage score sampling and optimal learning
A Rudi, D Calandriello, L Carratino, L Rosasco
Advances in Neural Information Processing Systems, 5672-5682, 2018
252018
Consistent multitask learning with nonlinear output relations
C Ciliberto, A Rudi, L Rosasco, M Pontil
Advances in Neural Information Processing Systems, 1986-1996, 2017
232017
Massively scalable Sinkhorn distances via the Nyström method
J Altschuler, F Bach, A Rudi, J Niles-Weed
Advances in Neural Information Processing Systems, 4427-4437, 2019
212019
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes
L Pillaud-Vivien, A Rudi, F Bach
Advances in Neural Information Processing Systems, 2018
212018
NYTRO: When Subsampling Meets Early Stopping
T Angles, R Camoriano, A Rudi, L Rosasco
arXiv preprint arXiv:1510.05684, 2015
21*2015
On the sample complexity of subspace learning
A Rudi, GD Canas, L Rosasco
Advances in Neural Information Processing Systems, 2067-2075, 2013
182013
Approximating the quadratic transportation metric in near-linear time
J Altschuler, F Bach, A Rudi, J Weed
arXiv preprint arXiv:1810.10046, 2018
142018
Exponential convergence of testing error for stochastic gradient methods
L Pillaud-Vivien, A Rudi, F Bach
Conference on Learning Theory (COLT), 2018, 2018
142018
Beyond least-squares: Fast rates for regularized empirical risk minimization through self-concordance
U Marteau-Ferey, D Ostrovskii, F Bach, A Rudi
arXiv preprint arXiv:1902.03046, 2019
112019
Adaptive Optimization for Cross Validation
A Rudi, G Chiusano, A Verri
ESANN 2012, 435-440, 2012
102012
Localized structured prediction
C Ciliberto, F Bach, A Rudi
Advances in Neural Information Processing Systems, 7301-7311, 2019
92019
Linear solvability in the viewing graph
A Rudi, M Pizzoli, F Pirri
Asian Conference on Computer Vision, 369-381, 2010
82010
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Artiklar 1–20