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 Biology-driven Approach Identifies the Hypoxia Gene Signature as a Predictor of the Outcome of Neuroblastoma Patients 1-gen-2010 Fardin, P; Barla, Annalisa; Mosci, Sofia; Rosasco, Lorenzo; Verri, Alessandro; Caron, H; Molenaar, J; Ora, I; Eva, A; Puppo, M; Varesio, L.
A Consistent Regularization Approach for Structured Prediction 1-gen-2016 Ciliberto, Carlo; Rosasco, Lorenzo; Rudi, Alessandro
A First-Order Stochastic Primal-Dual Algorithm with Correction Step 1-gen-2017 Rosasco, Lorenzo; Villa, Silvia; Công Vũ, Bằng
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings 1-gen-2020 Ciliberto, C; Rosasco, L; Rudi, A
A Method for Robust Variable Selection with Significance Assessment 1-gen-2008 Barla, Annalisa; Mosci, Sofia; Rosasco, Lorenzo; Verri, Alessandro
A Note on Perturbation Results for Learning Empirical Operators 1-gen-2009 Rosasco, Lorenzo; M., Belkin; DE VITO, Ernesto
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups 1-gen-2010 Mosci, Sofia; Villa, Silvia; Verri, Alessandro; Rosasco, Lorenzo
A Regularization Approach to Nonlinear Variable Selection 1-gen-2010 Rosasco, Lorenzo; Santoro, M; Mosci, Sofia; Villa, Silvia; Verri, Alessandro
A stochastic inertial forward–backward splitting algorithm for multivariate monotone inclusions 1-gen-2016 Rosasco, Lorenzo; Villa, Silvia; Vũ, Băng Công
Accelerated iterative regularization via dual diagonal descent 1-gen-2021 Calatroni, L.; Garrigos, G.; Rosasco, L.; Villa, S.
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.
Adaptive Kernel Methods via the Balancing Principle 1-gen-2010 DE VITO, Ernesto; S., Pereverzev; Rosasco, Lorenzo
ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots 1-gen-2022 Viceconte, P. M.; Camoriano, R.; Romualdi, G.; Ferigo, D.; Dafarra, S.; Traversaro, S.; Oriolo, G.; Rosasco, L.; Pucci, D.
An elementary analysis of ridge regression with random design 1-gen-2022 Mourtada, J.; Rosasco, L.
Analysis of Elastic-Net Regularization 1-gen-2008 C., De Mol; DE VITO, Ernesto; Rosasco, Lorenzo
Are Loss Functions All the Same? 1-gen-2004 Rosasco, Lorenzo; DE VITO, Ernesto; A., Caponnetto; Piana, Michele; Verri, Alessandro
Are we done with object recognition? The iCub robot's perspective 1-gen-2019 Pasquale, Giulia; Ciliberto, Carlo; Odone, Francesca; Rosasco, Lorenzo; Natale, Lorenzo
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.