| Less is More: Nyström Computational Regularization A Rudi, R Camoriano, L Rosasco Advances in Neural Information Processing Systems (NIPS) 2015, 2015 | 275 | 2015 |
| Generalization Properties of Learning with Random Features A Rudi, L Rosasco Advances in Neural Information Processing Systems, 2017 | 270 | 2017 |
| Falkon: An optimal large scale kernel method A Rudi, L Carratino, L Rosasco Advances in neural information processing systems 30, 2017 | 164 | 2017 |
| 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 | 97 | 2018 |
| Massively scalable Sinkhorn distances via the Nyström method J Altschuler, F Bach, A Rudi, J Niles-Weed Advances in neural information processing systems 32, 2019 | 87 | 2019 |
| 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 | 74 | 2018 |
| On fast leverage score sampling and optimal learning A Rudi, D Calandriello, L Carratino, L Rosasco Advances in Neural Information Processing Systems 31, 2018 | 70 | 2018 |
| 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 | 67 | 2020 |
| Kernel methods through the roof: handling billions of points efficiently G Meanti, L Carratino, L Rosasco, A Rudi Advances in Neural Information Processing Systems 33, 14410-14422, 2020 | 66 | 2020 |
| Learning with SGD and Random Features L Carratino, A Rudi, L Rosasco Advances in Neural Information Processing Systems, 2018 | 64 | 2018 |
| A general method for the point of regard estimation in 3D space F Pirri, M Pizzoli, A Rudi CVPR 2011, 921-928, 2011 | 64 | 2011 |
| A consistent regularization approach for structured prediction C Ciliberto, L Rosasco, A Rudi Advances in neural information processing systems 29, 2016 | 59 | 2016 |
| Beyond least-squares: Fast rates for regularized empirical risk minimization through self-concordance U Marteau-Ferey, D Ostrovskii, F Bach, A Rudi Conference on learning theory, 2294-2340, 2019 | 44 | 2019 |
| Consistent multitask learning with nonlinear output relations C Ciliberto, A Rudi, L Rosasco, M Pontil Advances in Neural Information Processing Systems 30, 2017 | 33 | 2017 |
| NYTRO: When Subsampling Meets Early Stopping T Angles, R Camoriano, A Rudi, L Rosasco arXiv preprint arXiv:1510.05684, 2015 | 32* | 2015 |
| Structured prediction with partial labelling through the infimum loss V Cabannnes, A Rudi, F Bach International Conference on Machine Learning, 1230-1239, 2020 | 30 | 2020 |
| Globally convergent newton methods for ill-conditioned generalized self-concordant losses U Marteau-Ferey, F Bach, A Rudi Advances in Neural Information Processing Systems 32, 2019 | 29 | 2019 |
| A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation A Vacher, B Muzellec, A Rudi, F Bach, FX Vialard arXiv preprint arXiv:2101.05380, 2021 | 28 | 2021 |
| Non-parametric models for non-negative functions U Marteau-Ferey, F Bach, A Rudi Advances in neural information processing systems 33, 12816-12826, 2020 | 28 | 2020 |
| Finding global minima via kernel approximations A Rudi, U Marteau-Ferey, F Bach arXiv preprint arXiv:2012.11978, 2020 | 27 | 2020 |
Francis BachInria - Ecole Normale SupérieureПотвърден имейл адрес: inria.fr
