Relevant Papers
2024
Bortolon M., Tsesmelis T., James S., Poiesi F., Del Bue A.
6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model
European Conference on Computer Vision
2024
Scarpellini G., Fiorini S., Giuliari F., Morerio P., Del Bue A.
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
2022
Giuliari F., Skenderi G., Cristani M., Wang Y., Del Bue A.
Spatial Commonsense Graph for Object Localisation in Partial Scenes
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2022-June, pp. 19496-19505
Publications
2023
Kostic V.R., Salzo S.
The method of randomized Bregman projections for stochastic feasibility problems
Numerical Algorithms, vol. 93, (no. 3), pp. 1269-1307
2022
Salzo S., Villa S.
Parallel random block-coordinate forward–backward algorithm: a unified convergence analysis
Mathematical Programming, Series B, vol. 193, (no. 1), pp. 225-269
2021
Salzo S., Villa S.
Proximal Gradient Methods for Machine Learning and Imaging
Harmonic and Applied Analysis. From Radon Transforms to Machine Learning, Publisher: Birkhäuser
2020
Salzo S., Suykens J.A.K.
Generalized support vector regression: Duality and tensor-kernel representation
Analysis and Applications, vol. 18, (no. 1), pp. 149-183
2020
Grazzi R., Franceschi L., Pontil M., Salzo S.
On the iteration complexity of hypergradient computation
37th International Conference on Machine Learning, ICML 2020, vol. PartF168147-5, pp. 3706-3716
Conference Paper
Conference
2020
Frecon J., Salzo S., Pontil M.
Unveiling groups of related tasks in multi-task learning
Proceedings - International Conference on Pattern Recognition, pp. 7134-7141
2018
Frecon J., Salzo S., Pontil M.
Bilevel learning of the group lasso structure
Advances in Neural Information Processing Systems, vol. 2018-December, pp. 8301-8311
Conference Paper
Conference
2018
Franceschi L., Frasconi P., Salzo S., Grazzi R., Pontil M.
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
35th International Conference on Machine Learning, ICML 2018, vol. 4, pp. 2537-2548
Conference Paper
Conference
2018
Franceschi L., Grazzi R., Pontil M., Salzo S., Frasconi P.
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning
International Workshop on Automatic Machine Learning
Conference Paper
Conference
2018
Tomasi F., Tozzo V., Verri A., Salzo S.
Forward-Backward Splitting for Time-Varying Graphical Models
Proceedings of the Ninth International Conference on Probabilistic Graphical Models, vol. PMLR, 72, pp. 475--486
Conference Paper
Conference
2018
Tomasi F., Salzo S., Tozzo V., Verri A.
Latent variable time-varying network inference
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2338-2346
2018
Combettes P.L., Salzo S., Villa S.
Regularized learning schemes in feature Banach spaces
Analysis and Applications, vol. 16, (no. 1), pp. 1-54
2018
Salzo S., Suykens J.A.K., Rosasco L.
Solving ℓp-norm regularization with tensor kernels
International Conference on Artificial Intelligence and Statistics, AISTATS 2018, pp. 1655-1663
Conference Paper
Conference
2015
Barla A., Salzo S., Verri A.
Regularized dictionary learning
Regularization, Optimization, Kernels, and Support Vector Machines, Publisher: CRC Press
Book Chapter
Book
2014
Salzo S., Masecchia S., Verri A., Barla A.
Alternating proximal regularized dictionary learning
Neural Computation, vol. 26, (no. 12), pp. 2855-2895