Publications
2021
Calatroni L., Garrigos G., Rosasco L., Villa S.
Accelerated iterative regularization via dual diagonal descent
SIAM Journal on Optimization, vol. 31, (no. 1), pp. 754-784
2021
Richards D., Mourtada J., Rosasco L.
Asymptotics of ridge (less) regression under general source condition
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, pp. 3889-3897
Conference Paper
Conference
2021
Rusu C., Rosasco L.
Constructing Fast Approximate Eigenspaces with Application to the Fast Graph Fourier Transforms
IEEE Transactions on Signal Processing, vol. 69, pp. 5037-5050
2021
De Vito E., Kereta Z., Naumova V., Rosasco L., Vigogna S.
Construction and Monte Carlo Estimation of Wavelet Frames Generated by a Reproducing Kernel
Journal of Fourier Analysis and Applications, vol. 27, (no. 2)
2021
Ceola F., Maiettini E., Pasquale G., Rosasco L., Natale L.
Fast Object Segmentation Learning with Kernel-based Methods for Robotics
IEEE-RAS International Conference on Robotics and Automation
Conference Paper
Conference
2021
Molinari C., Massias M., Rosasco L., Villa S.
Iterative regularization for convex regularizers
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, pp. 1684-1692
Conference Paper
Conference
2021
Ferigo D., Camoriano R., Viceconte P.M., Calandriello D., Traversaro S., Rosasco L., Pucci D.
On the emergence of whole-body strategies from humanoid robot push-recovery learning
IEEE Robotics and Automation Letters, vol. 6, (no. 4), pp. 8561-8568
2021
Della Vecchia A., Mourtada J., De Vito E., Rosasco L.
Regularized ERM on random subspaces
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, pp. 4006-4014
Conference Paper
Conference
2021
De Vito E., Mucke N., Rosasco L.
Reproducing kernel Hilbert spaces on manifolds: Sobolev and diffusion spaces
Analysis and Applications, vol. 19, (no. 3), pp. 363-396
2021
Marconi G.M., Camoriano R., Rosasco L., Ciliberto C.
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
IEEE Robotics and Automation Letters, vol. 6, (no. 3), pp. 5650-5657
2020
Ciliberto C., Rosasco L., Rudi A.
A general framework for consistent structured prediction with implicit loss embeddings
Journal of Machine Learning Research, vol. 21
Article
Journal
2020
Richards D., Rebeschini P., Rosasco L.
Decentralised learning with distributed gradient descent and random features
37th International Conference on Machine Learning, ICML 2020, vol. PartF168147-11, pp. 8075-8085
Conference Paper
Conference
2020
Richards D., Rebeschini P., Rosasco L.
Decentralised learning with random features and distributed gradient descent
37th International Conference on Machine Learning, ICML 2020, vol. 119, pp. 8105-8115
Conference Paper
Conference
2020
Lu X., Rudi A., Borgonovo E., Rosasco L.
Faster kriging: Facing high-dimensional simulators
Operations Research, vol. 68, (no. 1), pp. 233-249
Article
Journal
2020
Sterge N., Sriperumbudur B., Rosasco L., Rudi A.
Gain with no pain: Efficiency of kernel-PCA by Nyström sampling
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, pp. 3642-3652
Conference Paper
Conference