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
1002015
Generalization Properties of Learning with Random Features
A Rudi, L Rosasco
Advances in Neural Information Processing Systems, 2017
812017
A general method for the point of regard estimation in 3D space
F Pirri, M Pizzoli, A Rudi
CVPR 2011, 921-928, 2011
562011
Falkon: An optimal large scale kernel method
A Rudi, L Carratino, L Rosasco
Advances in Neural Information Processing Systems, 3888-3898, 2017
432017
Less is More: Nystr\" om Computational Regularization
A Rudi, R Camoriano, L Rosasco
arXiv preprint arXiv:1507.04717, 2015
252015
A consistent regularization approach for structured prediction
C Ciliberto, L Rosasco, A Rudi
Advances in neural information processing systems, 4412-4420, 2016
242016
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
17*2018
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
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
162018
On the sample complexity of subspace learning
A Rudi, GD Canas, L Rosasco
Advances in Neural Information Processing Systems, 2067-2075, 2013
152013
Nytro: When subsampling meets early stopping
R Camoriano, T Angles, A Rudi, L Rosasco
Artificial Intelligence and Statistics, 1403-1411, 2016
142016
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
122018
Learning with SGD and Random Features
L Carratino, A Rudi, L Rosasco
Advances in Neural Information Processing Systems, 2018
112018
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
102018
Adaptive Optimization for Cross Validation
A Rudi, G Chiusano, A Verri
ESANN 2012, 435-440, 2012
92012
Approximating the quadratic transportation metric in near-linear time
J Altschuler, F Bach, A Rudi, J Weed
arXiv preprint arXiv:1810.10046, 2018
82018
Exponential convergence of testing error for stochastic gradient methods
L Pillaud-Vivien, A Rudi, F Bach
Conference on Learning Theory (COLT), 2018, 2018
82018
Massively scalable sinkhorn distances via the nystr\" om method
J Altschuler, F Bach, A Rudi, J Weed
arXiv preprint arXiv:1812.05189, 2018
72018
Linear solvability in the viewing graph
A Rudi, M Pizzoli, F Pirri
Asian Conference on Computer Vision, 369-381, 2010
72010
Localized structured prediction
C Ciliberto, F Bach, A Rudi
arXiv preprint arXiv:1806.02402, 2018
52018
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Articles 1–20