ROSASCO, LORENZO

ROSASCO, LORENZO  

100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi  

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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.
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.
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
Efficient kernel methods for model-independent new physics searches 1-gen-2021 Letizia, Marco; Losapio, Gianvito; Rando, Marco; Grosso, Gaia; Rosasco, Lorenzo
Efficient Unsupervised Learning for Plankton Images 1-gen-2022 Alfano, PAOLO DIDIER; Rando, Marco; Letizia, Marco; Odone, Francesca; Rosasco, Lorenzo; Pastore, VITO PAOLO