ROSASCO, LORENZO
ROSASCO, LORENZO
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
A Consistent Regularization Approach for Structured Prediction
2016-01-01 Ciliberto, Carlo; Rosasco, Lorenzo; Rudi, Alessandro
A Note on Perturbation Results for Learning Empirical Operators
2009-01-01 Rosasco, Lorenzo; M., Belkin; DE VITO, Ernesto
A Regularization Approach to Nonlinear Variable Selection
2010-01-01 Rosasco, Lorenzo; Santoro, M; Mosci, Sofia; Villa, Silvia; Verri, Alessandro
Active perception: Building objects' models using tactile exploration
2016-01-01 Jamali, Nawid; Ciliberto, Carlo; Rosasco, Lorenzo; Natale, Lorenzo
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
2022-01-01 Rando, M.; Carratino, L.; Villa, S.; Rosasco, L.
Assumption violations in causal discovery and the robustness of score matching
2024-01-01 Montagna, Francesco; Mastakouri Atalanti, A.; Eulig, Elias; Noceti, Nicoletta; Rosasco, Lorenzo; Janzing, Dominik; Aragam, Bryon; Locatello, Francesco
Asymptotics of Ridge(less) Regression under General Source Condition
2020-01-01 Richards, Dominic; Mourtada, Jaouad; Rosasco, Lorenzo
Beating SGD saturation with tail-averaging and minibatching
2019-01-01 Mücke, N.; Neu, G.; Rosasco, L.
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise
2023-01-01 Montagna, F.; Noceti, N.; Rosasco, L.; Zhang, K.; Locatello, F.
Combining l1-l2 regularization with biological prior for multi-level hypoxia signature in Neuroblastoma
2010-01-01 Barla, Annalisa; Mosci, Sofia; Rosasco, Lorenzo; Verri, Alessandro; P., Fardin; A., Cornero; M., Acquaviva; L., Varesio
Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics
2016-01-01 Bertrand, Higy; Ciliberto, Carlo; Rosasco, Lorenzo; Natale, Lorenzo
Consistent Multitask Learning with Nonlinear Output Relations
2017-01-01 Ciliberto, Carlo; Rudi, Alessandro; Rosasco, Lorenzo; Massimiliano, Pontil
Constrained DMPs for Feasible Skill Learning on Humanoid Robots
2018-01-01 Duan, Anqing; Camoriano, R; Ferigo, D; Calandriello, D; Rosasco, L; Pucci, D
Convex Learning of Multiple Tasks and their Structure
2015-01-01 Ciliberto, Carlo; Mroueh, Youssef; Poggio, Tomaso; Rosasco, Lorenzo
Convex learning of multiple tasks and their structure
2015-01-01 Ciliberto, Carlo; Mroueh, Youssef; Poggio, Tomaso A.; Rosasco, Lorenzo
Decentralised learning with random features and distributed gradient descent
2020-01-01 Richards, D; Rebeschini, P; Rosasco, L
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
2018-01-01 Milios, D; Camoriano, R; Michiardi, P; Rosasco, L; Filippone, M
Discovering discrete subword units with binarized autoencoders and hidden-Markov-model encoders
2015-01-01 Badino, Leonardo; Alessio, Mereta; Rosasco, Lorenzo
Discriminative template learning in group-convolutional networks for invariant speech representations
2015-01-01 Zhang, Chiyuan; Voinea, Stephen; Evangelopoulos, Georgios; Rosasco, Lorenzo; Poggio, Tomaso
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
2022-01-01 Meanti, Giacomo; Carratino, Luigi; DE VITO, Ernesto; Rosasco, Lorenzo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Consistent Regularization Approach for Structured Prediction | 1-gen-2016 | Ciliberto, Carlo; Rosasco, Lorenzo; Rudi, Alessandro | |
| A Note on Perturbation Results for Learning Empirical Operators | 1-gen-2009 | Rosasco, Lorenzo; M., Belkin; DE VITO, Ernesto | |
| A Regularization Approach to Nonlinear Variable Selection | 1-gen-2010 | Rosasco, Lorenzo; Santoro, M; Mosci, Sofia; Villa, Silvia; Verri, Alessandro | |
| Active perception: Building objects' models using tactile exploration | 1-gen-2016 | Jamali, Nawid; Ciliberto, Carlo; Rosasco, Lorenzo; Natale, Lorenzo | |
| Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization | 1-gen-2022 | Rando, M.; Carratino, L.; Villa, S.; Rosasco, L. | |
| Assumption violations in causal discovery and the robustness of score matching | 1-gen-2024 | Montagna, Francesco; Mastakouri Atalanti, A.; Eulig, Elias; Noceti, Nicoletta; Rosasco, Lorenzo; Janzing, Dominik; Aragam, Bryon; Locatello, Francesco | |
| Asymptotics of Ridge(less) Regression under General Source Condition | 1-gen-2020 | Richards, Dominic; Mourtada, Jaouad; Rosasco, Lorenzo | |
| Beating SGD saturation with tail-averaging and minibatching | 1-gen-2019 | Mücke, N.; Neu, G.; Rosasco, L. | |
| Causal Discovery with Score Matching on Additive Models with Arbitrary Noise | 1-gen-2023 | Montagna, F.; Noceti, N.; Rosasco, L.; Zhang, K.; Locatello, F. | |
| Combining l1-l2 regularization with biological prior for multi-level hypoxia signature in Neuroblastoma | 1-gen-2010 | Barla, Annalisa; Mosci, Sofia; Rosasco, Lorenzo; Verri, Alessandro; P., Fardin; A., Cornero; M., Acquaviva; L., Varesio | |
| Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics | 1-gen-2016 | Bertrand, Higy; Ciliberto, Carlo; Rosasco, Lorenzo; Natale, Lorenzo | |
| Consistent Multitask Learning with Nonlinear Output Relations | 1-gen-2017 | Ciliberto, Carlo; Rudi, Alessandro; Rosasco, Lorenzo; Massimiliano, Pontil | |
| Constrained DMPs for Feasible Skill Learning on Humanoid Robots | 1-gen-2018 | Duan, Anqing; Camoriano, R; Ferigo, D; Calandriello, D; Rosasco, L; Pucci, D | |
| Convex Learning of Multiple Tasks and their Structure | 1-gen-2015 | Ciliberto, Carlo; Mroueh, Youssef; Poggio, Tomaso; Rosasco, Lorenzo | |
| Convex learning of multiple tasks and their structure | 1-gen-2015 | Ciliberto, Carlo; Mroueh, Youssef; Poggio, Tomaso A.; Rosasco, Lorenzo | |
| Decentralised learning with random features and distributed gradient descent | 1-gen-2020 | Richards, D; Rebeschini, P; Rosasco, L | |
| Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification | 1-gen-2018 | Milios, D; Camoriano, R; Michiardi, P; Rosasco, L; Filippone, M | |
| Discovering discrete subword units with binarized autoencoders and hidden-Markov-model encoders | 1-gen-2015 | Badino, Leonardo; Alessio, Mereta; Rosasco, Lorenzo | |
| Discriminative template learning in group-convolutional networks for invariant speech representations | 1-gen-2015 | Zhang, Chiyuan; Voinea, Stephen; Evangelopoulos, Georgios; Rosasco, Lorenzo; Poggio, Tomaso | |
| Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression | 1-gen-2022 | Meanti, Giacomo; Carratino, Luigi; DE VITO, Ernesto; Rosasco, Lorenzo |