Publications
2023
Rangamani A., Rosasco L., Poggio T.
For interpolating kernel machines, minimizing the norm of the ERM solution maximizes stability
Analysis and Applications, vol. 21, (no. 1), pp. 193-215
2023
Villa S., Matet S., Vu B.C., Rosasco L.
Implicit regularization with strongly convex bias: Stability and acceleration
Analysis and Applications, vol. 21, (no. 1), pp. 165-191
2023
Kozak D., Molinari C., Rosasco L., Tenorio L., Villa S.
Zeroth-order optimization with orthogonal random directions
Mathematical Programming, Series B, vol. 199, (no. 1-2), pp. 1179-1219
2022
Rando M., Carratino L., Villa S., Rosasco L.
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
International Conference on Artificial Intelligence and Statistics
Conference Paper
Conference
2022
Viceconte P.M., Camoriano R., Romualdi G., Ferigo D., Dafarra S., Traversaro S., Oriolo G., Rosasco L., Pucci D.
ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots
IEEE Robotics and Automation Letters, vol. 7, (no. 2), pp. 2779-2786
2022
Garrigos G., Rosasco L., Villa S.
Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry
Mathematical Programming, Series B
Article
Journal
2022
Meanti G., Carratino L., De Vito E., Rosasco L.
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
Proceedings of The 25th International Conference on Artificial Intelligence and Statistics
Conference Paper
Conference
2022
Maiettini E., Maracani A., Camoriano R., Pasquale G., Tikhanoff V., Rosasco L., Natale L.
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach
RO-MAN 2022 - 31st IEEE International Conference on Robot and Human Interactive Communication: Social, Asocial, and Antisocial Robots, pp. 942-949
2022
Ceola F., Maiettini E., Pasquale G., Meanti G., Rosasco L., Natale L.
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot
IEEE Transactions on Robotics, vol. 38, (no. 5), pp. 3154-3172
2022
Chatalic A., Carratino L., De Vito E., Rosasco L.
Mean nyström embeddings for adaptive compressive learning
Proceedings of the 25th International Conference on Artificial Intelligence and Statistics
Conference Paper
Conference
2022
Chatalic A., Schreuder N., Rudi A., Rosasco L.
Nyström Kernel Mean Embeddings
International Conference on Machine Learning ICML 2022
Conference Paper
Conference
2022
Calandriello D., Carratino L., Lazaric A., Valko M., Rosasco L.
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
International Conference on Machine Learning ICML 2022
Conference Paper
Conference
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
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)