ROSASCO, LORENZO
ROSASCO, LORENZO
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
A Biology-driven Approach Identifies the Hypoxia Gene Signature as a Predictor of the Outcome of Neuroblastoma Patients
2010-01-01 Fardin, P; Barla, Annalisa; Mosci, Sofia; Rosasco, Lorenzo; Verri, Alessandro; Caron, H; Molenaar, J; Ora, I; Eva, A; Puppo, M; Varesio, L.
A First-Order Stochastic Primal-Dual Algorithm with Correction Step
2017-01-01 Rosasco, Lorenzo; Villa, Silvia; Công Vũ, Bằng
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings
2020-01-01 Ciliberto, C; Rosasco, L; Rudi, A
A stochastic inertial forward–backward splitting algorithm for multivariate monotone inclusions
2016-01-01 Rosasco, Lorenzo; Villa, Silvia; Vũ, Băng Công
A structured prediction approach for robot imitation learning
2024-01-01 Duan, Anqing; Batzianoulis, Iason; Camoriano, Raffaello; Rosasco, Lorenzo; Pucci, Daniele; Billard, Aude
Accelerated iterative regularization via dual diagonal descent
2021-01-01 Calatroni, L.; Garrigos, G.; Rosasco, L.; Villa, S.
Adaptive Kernel Methods via the Balancing Principle
2010-01-01 DE VITO, Ernesto; S., Pereverzev; Rosasco, Lorenzo
ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots
2022-01-01 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
2022-01-01 Mourtada, J.; Rosasco, L.
Are Loss Functions All the Same?
2004-01-01 Rosasco, Lorenzo; DE VITO, Ernesto; A., Caponnetto; Piana, Michele; Verri, Alessandro
Are we done with object recognition? The iCub robot's perspective
2019-01-01 Pasquale, Giulia; Ciliberto, Carlo; Odone, Francesca; Rosasco, Lorenzo; Natale, Lorenzo
Characterizing the input-output function of the olfactory-limbic pathway in the guinea pig
2015-01-01 Luca Breschi, Gian; Ciliberto, Carlo; Nieus, Thierry; Rosasco, Lorenzo; Taverna, Stefano; Chiappalone, Michela; Pasquale, Valentina
Clinical Evaluation of a (1,3)- -D-Glucan Assay for Presumptive Diagnosis of Pneumocystis jiroveci Pneumonia in Immunocompromised Patients
2009-01-01 V., Del Bono; A., Mularoni; E., Furfaro; E., Delfino; Rosasco, Lorenzo; F., Miletich; C., Viscoli
Consistency of Learning Algorithms Using Attouch–Wets Convergence
2012-01-01 Villa, Silvia; Rosasco, Lorenzo; Mosci, Sofia; Verri, Alessandro
Constructing fast approximate eigenspaces with application to the fast graph Fourier transforms
2020-01-01 Rusu, Christian; Rosasco, Lorenzo
Construction and Monte Carlo Estimation of Wavelet Frames Generated by a Reproducing Kernel
2021-01-01 De Vito, Ernesto; Kereta, Zeljko; Naumova, Valeriya; Rosasco, Lorenzo; Vigogna, Stefano
Convergence of Stochastic Proximal Gradient Algorithm
2019-01-01 Rosasco, Lorenzo; Villa, Silvia; Cong Vu, Bang
Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry
2022-01-01 Garrigos, G.; Rosasco, L.; Villa, S.
Discretization error analysis for Tikhonov regularization
2006-01-01 DE VITO, Ernesto; Rosasco, Lorenzo; A., Caponnetto
Elastic net regularization in learning theory
2009-01-01 C., DE MOL; DE VITO, Ernesto; Rosasco, Lorenzo
| 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 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 stochastic inertial forward–backward splitting algorithm for multivariate monotone inclusions | 1-gen-2016 | Rosasco, Lorenzo; Villa, Silvia; Vũ, Băng Công | |
| A structured prediction approach for robot imitation learning | 1-gen-2024 | Duan, Anqing; Batzianoulis, Iason; Camoriano, Raffaello; Rosasco, Lorenzo; Pucci, Daniele; Billard, Aude | |
| Accelerated iterative regularization via dual diagonal descent | 1-gen-2021 | Calatroni, L.; Garrigos, G.; Rosasco, L.; Villa, S. | |
| 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. | |
| 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 | |
| Characterizing the input-output function of the olfactory-limbic pathway in the guinea pig | 1-gen-2015 | Luca Breschi, Gian; Ciliberto, Carlo; Nieus, Thierry; Rosasco, Lorenzo; Taverna, Stefano; Chiappalone, Michela; Pasquale, Valentina | |
| Clinical Evaluation of a (1,3)- -D-Glucan Assay for Presumptive Diagnosis of Pneumocystis jiroveci Pneumonia in Immunocompromised Patients | 1-gen-2009 | V., Del Bono; A., Mularoni; E., Furfaro; E., Delfino; Rosasco, Lorenzo; F., Miletich; C., Viscoli | |
| Consistency of Learning Algorithms Using Attouch–Wets Convergence | 1-gen-2012 | Villa, Silvia; Rosasco, Lorenzo; Mosci, Sofia; Verri, Alessandro | |
| Constructing fast approximate eigenspaces with application to the fast graph Fourier transforms | 1-gen-2020 | Rusu, Christian; Rosasco, Lorenzo | |
| Construction and Monte Carlo Estimation of Wavelet Frames Generated by a Reproducing Kernel | 1-gen-2021 | De Vito, Ernesto; Kereta, Zeljko; Naumova, Valeriya; Rosasco, Lorenzo; Vigogna, Stefano | |
| Convergence of Stochastic Proximal Gradient Algorithm | 1-gen-2019 | Rosasco, Lorenzo; Villa, Silvia; Cong Vu, Bang | |
| Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry | 1-gen-2022 | Garrigos, G.; Rosasco, L.; Villa, S. | |
| Discretization error analysis for Tikhonov regularization | 1-gen-2006 | DE VITO, Ernesto; Rosasco, Lorenzo; A., Caponnetto | |
| Elastic net regularization in learning theory | 1-gen-2009 | C., DE MOL; DE VITO, Ernesto; Rosasco, Lorenzo |