Alessandro Rudi
Alessandro Rudi
INRIA - ╔cole Normale SupÚrieure
Verified email at inria.fr - Homepage
TitleCited byYear
Less is More: Nystr÷m Computational Regularization
A Rudi, R Camoriano, L Rosasco
Advances in Neural Information Processing Systems (NIPS) 2015, 2015
1312015
Generalization Properties of Learning with Random Features
A Rudi, L Rosasco
Advances in Neural Information Processing Systems, 2017
962017
A general method for the point of regard estimation in 3D space
F Pirri, M Pizzoli, A Rudi
CVPR 2011, 921-928, 2011
552011
Falkon: An optimal large scale kernel method
A Rudi, L Carratino, L Rosasco
Advances in Neural Information Processing Systems, 3888-3898, 2017
512017
A consistent regularization approach for structured prediction
C Ciliberto, L Rosasco, A Rudi
Advances in neural information processing systems, 4412-4420, 2016
252016
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
242018
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, 2018
21*2018
Learning with SGD and Random Features
L Carratino, A Rudi, L Rosasco
Advances in Neural Information Processing Systems, 2018
172018
Consistent multitask learning with nonlinear output relations
C Ciliberto, A Rudi, L Rosasco, M Pontil
Advances in Neural Information Processing Systems, 1986-1996, 2017
172017
NYTRO: When Subsampling Meets Early Stopping
T Angles, R Camoriano, A Rudi, L Rosasco
arXiv preprint arXiv:1510.05684, 2015
17*2015
On the sample complexity of subspace learning
A Rudi, GD Canas, L Rosasco
Advances in Neural Information Processing Systems, 2067-2075, 2013
162013
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
152018
Massively scalable Sinkhorn distances via the Nystr÷m method
J Altschuler, F Bach, A Rudi, J Niles-Weed
Advances in Neural Information Processing Systems, 4429-4439, 2019
142019
Approximating the quadratic transportation metric in near-linear time
J Altschuler, F Bach, A Rudi, J Weed
arXiv preprint arXiv:1810.10046, 2018
132018
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
112018
Exponential convergence of testing error for stochastic gradient methods
L Pillaud-Vivien, A Rudi, F Bach
Conference on Learning Theory (COLT), 2018, 2018
102018
Adaptive Optimization for Cross Validation
A Rudi, G Chiusano, A Verri
ESANN 2012, 435-440, 2012
92012
Linear solvability in the viewing graph
A Rudi, M Pizzoli, F Pirri
Asian Conference on Computer Vision, 369-381, 2010
82010
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
52019
Localized structured prediction
C Ciliberto, F Bach, A Rudi
Advances in Neural Information Processing Systems, 7299-7309, 2019
52019
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Articles 1–20