Lorenzo Rosasco

265 papers A* 32A 21B 5Misc 3Journal 172Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection. IEEE Trans. Inf. Forensics Secur. Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli
2025	J	`jnl`	A Structured Tour of Optimization with Finite Differences. CoRR Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
2025	J	`jnl`	An Efficient Permutation-Based Kernel Two-Sample Test. CoRR Antoine Chatalic, Marco Letizia, Nicolas Schreuder, Lorenzo Rosasco
2025	J	`jnl`	Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs. Trans. Mach. Learn. Res. Emilia Magnani, Nicholas Krämer, Runa Eschenhagen, Lorenzo Rosasco, Philipp Hennig
2025	J	`jnl`	Computational Efficiency under Covariate Shift in Kernel Ridge Regression. CoRR Andrea Della Vecchia, Arnaud Mavakala Watusadisi, Ernesto De Vito, Lorenzo Rosasco
2025	J	`jnl`	Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling. J. Mach. Learn. Res. Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco
2025	J	`jnl`	Learning Multi-Index Models with Hyper-Kernel Ridge Regression. CoRR Shuo Huang, Hippolyte Labarrière, Ernesto De Vito, Tomaso A. Poggio, Lorenzo Rosasco
2025	J	`jnl`	Learning Rhythmic Trajectories With Geometric Constraints for Laser-Based Skincare Procedures. IEEE Trans. Robotics Anqing Duan, Wanli Liuchen, Jinsong Wu, Raffaello Camoriano, Lorenzo Rosasco, David Navarro-Alarcon
2025	J	`jnl`	Learning convolution operators on compact Abelian groups. CoRR Emilia Magnani, Ernesto De Vito, Philipp Hennig, Lorenzo Rosasco
2025	J	`jnl`	Learning functions, operators and dynamical systems with kernels. CoRR Lorenzo Rosasco
2025	J	`jnl`	Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method. Autom. Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Cesare Molinari, Carlos Ocampo-Martinez, Carme Torras, Lorenzo Rosasco
2025	J	`jnl`	On the Sample Complexity of Learning for Blind Inverse Problems. CoRR Nathan Buskulic, Luca Calatroni, Lorenzo Rosasco, Silvia Villa
2025	J	`jnl`	Re-examining Double Descent and Scaling Laws under Norm-based Capacity via Deterministic Equivalence. CoRR Yichen Wang, Yudong Chen, Lorenzo Rosasco, Fanghui Liu
2025	J	`jnl`	Towards a Learning Theory of Representation Alignment. CoRR Francesco Insulla, Shuo Huang, Lorenzo Rosasco
2025	A*	`conf`	Towards a learning theory of representation alignment. ICLR Francesco Insulla, Shuo Huang, Lorenzo Rosasco
2024	J	`jnl`	A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection. CoRR Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli
2024	J	`jnl`	A structured prediction approach for robot imitation learning. Int. J. Robotics Res. Anqing Duan, Iason Batzianoulis, Raffaello Camoriano, Lorenzo Rosasco, Daniele Pucci, Aude Billard
2024	—	`conf`	Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques. Humanoids Carlotta Sartore, Marco Rando, Giulio Romualdi, Cesare Molinari, Lorenzo Rosasco, Daniele Pucci
2024	J	`jnl`	Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques. CoRR Carlotta Sartore, Marco Rando, Giulio Romualdi, Cesare Molinari, Lorenzo Rosasco, Daniele Pucci
2024	J	`jnl`	Iterative regularization for low complexity regularizers. Numerische Mathematik Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
2024	J	`jnl`	Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis. CoRR Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale
2024	J	`jnl`	Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method. CoRR Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Cesare Molinari, Carlos Ocampo-Martinez, Carme Torras, Lorenzo Rosasco
2024	J	`jnl`	Neural reproducing kernel Banach spaces and representer theorems for deep networks. CoRR Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna
2024	J	`jnl`	Optimization Insights into Deep Diagonal Linear Networks. CoRR Hippolyte Labarrière, Cesare Molinari, Lorenzo Rosasco, Silvia Villa, Cristian Vega
2024	J	`jnl`	Q-Learning to navigate turbulence without a map. CoRR Marco Rando, Martin James, Alessandro Verri, Lorenzo Rosasco, Agnese Seminara
2024	J	`jnl`	RESPRECT: Speeding-up Multi-Fingered Grasping With Residual Reinforcement Learning. IEEE Robotics Autom. Lett. Federico Ceola, Lorenzo Rosasco, Lorenzo Natale
2024	J	`jnl`	RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning. CoRR Federico Ceola, Lorenzo Rosasco, Lorenzo Natale
2024	A*	`conf`	Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors. ICRA Gabriele M. Caddeo, Andrea Maracani, Paolo Didier Alfano, Nicola A. Piga, Lorenzo Rosasco, Lorenzo Natale
2024	J	`jnl`	Stochastic zeroth order descent with structured directions. Comput. Optim. Appl. Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco
2024	J	`jnl`	The Nyström method for convex loss functions. J. Mach. Learn. Res. Andrea Della Vecchia, Ernesto De Vito, Jaouad Mourtada, Lorenzo Rosasco
2024	J	`jnl`	Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods. Image Vis. Comput. Paolo Didier Alfano, Vito Paolo Pastore, Lorenzo Rosasco, Francesca Odone
2024	J	`jnl`	Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation. CoRR Andrea Maracani, Lorenzo Rosasco, Lorenzo Natale
2023	A	`conf`	A Grasp Pose is All You Need: Learning Multi-Fingered Grasping with Deep Reinforcement Learning from Vision and Touch. IROS Federico Ceola, Elisa Maiettini, Lorenzo Rosasco, Lorenzo Natale
2023	J	`jnl`	A Grasp Pose is All You Need: Learning Multi-fingered Grasping with Deep Reinforcement Learning from Vision and Touch. CoRR Federico Ceola, Elisa Maiettini, Lorenzo Rosasco, Lorenzo Natale
2023	J	`jnl`	A Structured Prediction Approach for Robot Imitation Learning. CoRR Anqing Duan, Iason Batzianoulis, Raffaello Camoriano, Lorenzo Rosasco, Daniele Pucci, Aude Billard
2023	A*	`conf`	An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization. NeurIPS Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
2023	A*	`conf`	Assumption violations in causal discovery and the robustness of score matching. NeurIPS Francesco Montagna, Atalanti-Anastasia Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, Francesco Locatello
2023	J	`jnl`	Assumption violations in causal discovery and the robustness of score matching. CoRR Francesco Montagna, Atalanti-Anastasia Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, Francesco Locatello
2023	—	`conf`	Causal Discovery with Score Matching on Additive Models with Arbitrary Noise. CLeaR Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello
2023	J	`jnl`	Causal Discovery with Score Matching on Additive Models with Arbitrary Noise. CoRR Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello
2023	J	`jnl`	Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry. Math. Program. Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
2023	J	`jnl`	Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling. CoRR Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco
2023	A*	`conf`	Estimating Koopman operators with sketching to provably learn large scale dynamical systems. NeurIPS Giacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
2023	J	`jnl`	Estimating Koopman operators with sketching to provably learn large scale dynamical systems. CoRR Giacomo Meanti, Antoine Chatalic, Vladimir R. Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
2023	J	`jnl`	Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test. CoRR Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti
2023	J	`jnl`	Fast kernel methods for data quality monitoring as a goodness-of-fit test. Mach. Learn. Sci. Technol. Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti
2023	J	`jnl`	From inexact optimization to learning via gradient concentration. Comput. Optim. Appl. Bernhard Stankewitz, Nicole Mücke, Lorenzo Rosasco
2023	Misc	`conf`	Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees. CoRL Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Lorenzo Rosasco, Carme Torras
2023	J	`jnl`	Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation. CoRR Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale
2023	J	`jnl`	Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures. CoRR Anqing Duan, Wanli Liuchen, Jinsong Wu, Raffaello Camoriano, Lorenzo Rosasco, David Navarro-Alarcon
2023	—	`conf`	Regularization Properties of Dual Subgradient Flow. ECC Vassilis Apidopoulos, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
2023	—	`conf`	Scalable Causal Discovery with Score Matching. CLeaR Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello
2023	J	`jnl`	Scalable Causal Discovery with Score Matching. CoRR Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello
2023	J	`jnl`	Shortcuts for causal discovery of nonlinear models by score matching. CoRR Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Francesco Locatello
2023	J	`jnl`	Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors. CoRR Gabriele M. Caddeo, Andrea Maracani, Paolo Didier Alfano, Nicola A. Piga, Lorenzo Rosasco, Lorenzo Natale
2023	A*	`ed.`	The Thirty Sixth Annual Conference on Learning Theory, COLT 2023, 12-15 July 2023, Bangalore, India. COLT Gergely Neu, Lorenzo Rosasco
2023	J	`jnl`	Zeroth-order optimization with orthogonal random directions. Math. Program. David Kozak, Cesare Molinari, Lorenzo Rosasco, Luis Tenorio, Silvia Villa
2022	J	`jnl`	ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots. IEEE Robotics Autom. Lett. Paolo Maria Viceconte, Raffaello Camoriano, Giulio Romualdi, Diego Ferigo, Stefano Dafarra, Silvio Traversaro, Giuseppe Oriolo, Lorenzo Rosasco, Daniele Pucci
2022	A	`conf`	Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization. AISTATS Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
2022	J	`jnl`	An elementary analysis of ridge regression with random design. CoRR Jaouad Mourtada, Lorenzo Rosasco
2022	J	`jnl`	Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs. CoRR Emilia Magnani, Nicholas Krämer, Runa Eschenhagen, Lorenzo Rosasco, Philipp Hennig
2022	A	`conf`	Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. AISTATS Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
2022	J	`jnl`	Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. CoRR Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
2022	B	`conf`	Efficient Unsupervised Learning for Plankton Images. ICPR Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore
2022	J	`jnl`	Efficient Unsupervised Learning for Plankton Images. CoRR Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore
2022	J	`jnl`	Fast approximation of orthogonal matrices and application to PCA. Signal Process. Cristian Rusu, Lorenzo Rosasco
2022	J	`jnl`	Fine-tuning or top-tuning? Transfer learning with pretrained features and fast kernel methods. CoRR Paolo Didier Alfano, Vito Paolo Pastore, Lorenzo Rosasco, Francesca Odone
2022	B	`conf`	From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach. RO-MAN Elisa Maiettini, Andrea Maracani, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
2022	J	`jnl`	Iterative regularization in classification via hinge loss diagonal descent. CoRR Vassilis Apidopoulos, Tomaso A. Poggio, Lorenzo Rosasco, Silvia Villa
2022	J	`jnl`	Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot. CoRR Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale
2022	J	`jnl`	Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot. IEEE Trans. Robotics Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale
2022	A*	`conf`	Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. NeurIPS Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
2022	J	`jnl`	Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. CoRR Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
2022	J	`jnl`	Learning new physics efficiently with nonparametric methods. CoRR Marco Letizia, Gianvito Losapio, Marco Rando, Gaia Grosso, Andrea Wulzer, Maurizio Pierini, Marco Zanetti, Lorenzo Rosasco
2022	A	`conf`	Mean Nyström Embeddings for Adaptive Compressive Learning. AISTATS Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
2022	A*	`conf`	Multiclass learning with margin: exponential rates with no bias-variance trade-off. ICML Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
2022	J	`jnl`	Multiclass learning with margin: exponential rates with no bias-variance trade-off. CoRR Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
2022	A*	`conf`	Nyström Kernel Mean Embeddings. ICML Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, Alessandro Rudi
2022	J	`jnl`	Nyström Kernel Mean Embeddings. CoRR Antoine Chatalic, Nicolas Schreuder, Alessandro Rudi, Lorenzo Rosasco
2022	J	`jnl`	Physics Informed Shallow Machine Learning for Wind Speed Prediction. CoRR Daniele Lagomarsino-Oneto, Giacomo Meanti, Nicolò Pagliana, Alessandro Verri, Andrea Mazzino, Lorenzo Rosasco, Agnese Seminara
2022	A*	`conf`	Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times. ICML Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
2022	J	`jnl`	Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times. CoRR Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
2022	J	`jnl`	Stochastic Zeroth order Descent with Structured Directions. CoRR Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco
2021	J	`jnl`	Accelerated Iterative Regularization via Dual Diagonal Descent. SIAM J. Optim. Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
2021	J	`jnl`	Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization. CoRR Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
2021	A	`conf`	Asymptotics of Ridge(less) Regression under General Source Condition. AISTATS Dominic Richards, Jaouad Mourtada, Lorenzo Rosasco
2021	J	`jnl`	Constructing Fast Approximate Eigenspaces With Application to the Fast Graph Fourier Transforms. IEEE Trans. Signal Process. Cristian Rusu, Lorenzo Rosasco
2021	A*	`conf`	Fast Object Segmentation Learning with Kernel-based Methods for Robotics. ICRA Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
2021	J	`jnl`	From inexact optimization to learning via gradient concentration. CoRR Bernhard Stankewitz, Nicole Mücke, Lorenzo Rosasco
2021	A	`conf`	Iterative regularization for convex regularizers. AISTATS Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
2021	J	`jnl`	Mean Nyström Embeddings for Adaptive Compressive Learning. CoRR Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
2021	J	`jnl`	On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning. IEEE Robotics Autom. Lett. Diego Ferigo, Raffaello Camoriano, Paolo Maria Viceconte, Daniele Calandriello, Silvio Traversaro, Lorenzo Rosasco, Daniele Pucci
2021	J	`jnl`	On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning. CoRR Diego Ferigo, Raffaello Camoriano, Paolo Maria Viceconte, Daniele Calandriello, Silvio Traversaro, Lorenzo Rosasco, Daniele Pucci
2021	A*	`conf`	ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions. NeurIPS Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco
2021	J	`jnl`	ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions. CoRR Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco
2021	A	`conf`	Regularized ERM on random subspaces. AISTATS Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito, Lorenzo Rosasco
2021	J	`jnl`	Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models. IEEE Robotics Autom. Lett. Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
2021	J	`jnl`	Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models. CoRR Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
2021	J	`jnl`	Understanding neural networks with reproducing kernel Banach spaces. CoRR Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna
2020	J	`jnl`	A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings. CoRR Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi
2020	J	`jnl`	A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings. J. Mach. Learn. Res. Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi
2020	J	`jnl`	Constructing fast approximate eigenspaces with application to the fast graph Fourier transforms. CoRR Cristian Rusu, Lorenzo Rosasco
2020	J	`jnl`	Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics. CoRR Elisa Maiettini, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
2020	A*	`conf`	Decentralised Learning with Random Features and Distributed Gradient Descent. ICML Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco
2020	J	`jnl`	Decentralised Learning with Random Features and Distributed Gradient Descent. CoRR Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco
2020	J	`jnl`	Fast Object Segmentation Learning with Kernel-based Methods for Robotics. CoRR Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
2020	J	`jnl`	Fast Region Proposal Learning for Object Detection for Robotics. CoRR Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
2020	J	`jnl`	Faster Kriging: Facing High-Dimensional Simulators. Oper. Res. Xuefei Lu, Alessandro Rudi, Emanuele Borgonovo, Lorenzo Rosasco
2020	J	`jnl`	For interpolating kernel machines, the minimum norm ERM solution is the most stable. CoRR Akshay Rangamani, Lorenzo Rosasco, Tomaso A. Poggio
2020	A	`conf`	Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling. AISTATS Nicholas Sterge, Bharath K. Sriperumbudur, Lorenzo Rosasco, Alessandro Rudi
2020	A	`conf`	Hyperbolic Manifold Regression. AISTATS Gian Maria Marconi, Carlo Ciliberto, Lorenzo Rosasco
2020	J	`jnl`	Hyperbolic Manifold Regression. CoRR Gian Maria Marconi, Lorenzo Rosasco, Carlo Ciliberto
2020	J	`jnl`	Implicit regularization for convex regularizers. CoRR Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
2020	A*	`conf`	Kernel Methods Through the Roof: Handling Billions of Points Efficiently. NeurIPS Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi
2020	J	`jnl`	Kernel methods through the roof: handling billions of points efficiently. CoRR Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi
2020	J	`jnl`	Learning to Avoid Obstacles With Minimal Intervention Control. Frontiers Robotics AI Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci
2020	J	`jnl`	Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification. CoRR Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
2020	A*	`conf`	Near-linear time Gaussian process optimization with adaptive batching and resparsification. ICML Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
2020	J	`jnl`	On-line object detection: a robotics challenge. Auton. Robots Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
2020	J	`jnl`	Regularized ERM on random subspaces. CoRR Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito, Lorenzo Rosasco
2019	—	`conf`	A Weakly Supervised Strategy for Learning Object Detection on a Humanoid Robot. Humanoids Elisa Maiettini, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
2019	J	`jnl`	A computational model for grid maps in neural populations. CoRR Fabio Anselmi, Benedetta Franceschiello, Micah M. Murray, Lorenzo Rosasco
2019	J	`jnl`	Are we done with object recognition? The iCub robot's perspective. Robotics Auton. Syst. Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
2019	A*	`conf`	Beating SGD Saturation with Tail-Averaging and Minibatching. NeurIPS Nicole Mücke, Gergely Neu, Lorenzo Rosasco
2019	J	`jnl`	Beating SGD Saturation with Tail-Averaging and Minibatching. CoRR Nicole Mücke, Gergely Neu, Lorenzo Rosasco
2019	J	`jnl`	Fast approximation of orthogonal matrices and application to PCA. CoRR Cristian Rusu, Lorenzo Rosasco
2019	J	`jnl`	Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling. CoRR Nicholas Sterge, Bharath K. Sriperumbudur, Lorenzo Rosasco, Alessandro Rudi
2019	A*	`conf`	Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret. COLT Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
2019	J	`jnl`	Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret. CoRR Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
2019	—	`conf`	Genuine Personality Recognition from Highly Constrained Face Images. ICIAP (1) Fabio Anselmi, Nicoletta Noceti, Lorenzo Rosasco, Robert Ward
2019	A*	`conf`	Implicit Regularization of Accelerated Methods in Hilbert Spaces. NeurIPS Nicolò Pagliana, Lorenzo Rosasco
2019	J	`jnl`	Implicit Regularization of Accelerated Methods in Hilbert Spaces. CoRR Nicolò Pagliana, Lorenzo Rosasco
2019	A	`conf`	Learning to Sequence Multiple Tasks with Competing Constraints. IROS Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci
2019	J	`jnl`	Multi-Scale Vector Quantization with Reconstruction Trees. CoRR Enrico Cecini, Ernesto De Vito, Lorenzo Rosasco
2019	J	`jnl`	Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces. CoRR Ernesto De Vito, Nicole Mücke, Lorenzo Rosasco
2019	J	`jnl`	Statistical and Computational Trade-Offs in Kernel K-Means. CoRR Daniele Calandriello, Lorenzo Rosasco
2019	J	`jnl`	Symmetry-adapted representation learning. Pattern Recognit. Fabio Anselmi, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio
2019	J	`jnl`	Theory III: Dynamics and Generalization in Deep Networks. CoRR Andrzej Banburski, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Bob Liang, Jack Hidary, Tomaso A. Poggio
2018	—	`conf`	Constrained DMPs for Feasible Skill Learning on Humanoid Robots. Humanoids Anqing Duan, Raffaello Camoriano, Diego Ferigo, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci
2018	A*	`conf`	Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. NeurIPS Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
2018	J	`jnl`	Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. CoRR Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
2018	J	`jnl`	Generalization properties of doubly stochastic learning algorithms. J. Complex. Junhong Lin, Lorenzo Rosasco
2018	A*	`conf`	Iterate Averaging as Regularization for Stochastic Gradient Descent. COLT Gergely Neu, Lorenzo Rosasco
2018	J	`jnl`	Iterate averaging as regularization for stochastic gradient descent. CoRR Gergely Neu, Lorenzo Rosasco
2018	J	`jnl`	Iterative Regularization via Dual Diagonal Descent. J. Math. Imaging Vis. Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
2018	A*	`conf`	Learning with SGD and Random Features. NeurIPS Luigi Carratino, Alessandro Rudi, Lorenzo Rosasco
2018	J	`jnl`	Learning with SGD and Random Features. CoRR Luigi Carratino, Alessandro Rudi, Lorenzo Rosasco
2018	A*	`conf`	Manifold Structured Prediction. NeurIPS Alessandro Rudi, Carlo Ciliberto, Gian Maria Marconi, Lorenzo Rosasco
2018	J	`jnl`	Manifold Structured Prediction. CoRR Alessandro Rudi, Carlo Ciliberto, Gian Maria Marconi, Lorenzo Rosasco
2018	J	`jnl`	Modified Fejér sequences and applications. Comput. Optim. Appl. Junhong Lin, Lorenzo Rosasco, Silvia Villa, Ding-Xuan Zhou
2018	A*	`conf`	On Fast Leverage Score Sampling and Optimal Learning. NeurIPS Alessandro Rudi, Daniele Calandriello, Luigi Carratino, Lorenzo Rosasco
2018	J	`jnl`	On Fast Leverage Score Sampling and Optimal Learning. CoRR Alessandro Rudi, Daniele Calandriello, Luigi Carratino, Lorenzo Rosasco
2018	A	`conf`	Solving lp-norm regularization with tensor kernels. AISTATS Saverio Salzo, Lorenzo Rosasco, Johan A. K. Suykens
2018	—	`conf`	Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability. EUSIPCO Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
2018	A	`conf`	Speeding-Up Object Detection Training for Robotics with FALKON. IROS Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
2018	J	`jnl`	Speeding-up Object Detection Training for Robotics with FALKON. CoRR Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
2018	A*	`conf`	Statistical and Computational Trade-Offs in Kernel K-Means. NeurIPS Daniele Calandriello, Lorenzo Rosasco
2018	J	`jnl`	Theory of Deep Learning III: explaining the non-overfitting puzzle. CoRR Tomaso A. Poggio, Kenji Kawaguchi, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Xavier Boix, Jack Hidary, Hrushikesh N. Mhaskar
2017	J	`jnl`	Are we Done with Object Recognition? The iCub robot's Perspective. CoRR Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
2017	—	`conf`	Consistent Multitask Learning with Nonlinear Output Relations. NIPS Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco, Massimiliano Pontil
2017	J	`jnl`	Consistent Multitask Learning with Nonlinear Output Relations. CoRR Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco, Massimiliano Pontil
2017	J	`jnl`	Don't relax: early stopping for convex regularization. CoRR Simon Matet, Lorenzo Rosasco, Silvia Villa, Bang Long Vu
2017	—	`conf`	FALKON: An Optimal Large Scale Kernel Method. NIPS Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco
2017	J	`jnl`	FALKON: An Optimal Large Scale Kernel Method. CoRR Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco
2017	J	`jnl`	Generalization Properties of Doubly Online Learning Algorithms. CoRR Junhong Lin, Lorenzo Rosasco
2017	—	`conf`	Generalization Properties of Learning with Random Features. NIPS Alessandro Rudi, Lorenzo Rosasco
2017	A*	`conf`	Incremental robot learning of new objects with fixed update time. ICRA Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta
2017	—	`conf`	Interactive data collection for deep learning object detectors on humanoid robots. Humanoids Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
2017	J	`jnl`	Optimal Rates for Learning with Nyström Stochastic Gradient Methods. CoRR Junhong Lin, Lorenzo Rosasco
2017	J	`jnl`	Optimal Rates for Multi-pass Stochastic Gradient Methods. J. Mach. Learn. Res. Junhong Lin, Lorenzo Rosasco
2017	J	`jnl`	Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review. Int. J. Autom. Comput. Tomaso A. Poggio, Hrushikesh N. Mhaskar, Lorenzo Rosasco, Brando Miranda, Qianli Liao
2016	—	`conf`	A Consistent Regularization Approach for Structured Prediction. NIPS Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi
2016	J	`jnl`	A Consistent Regularization Approach for Structured Prediction. CoRR Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco
2016	—	`conf`	Active perception: Building objects' models using tactile exploration. Humanoids Nawid Jamali, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
2016	—	`conf`	Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics. Humanoids Bertrand Higy, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
2016	J	`jnl`	Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives. Frontiers Robotics AI Giulia Pasquale, Tanis Mar, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
2016	A*	`conf`	Generalization Properties and Implicit Regularization for Multiple Passes SGM. ICML Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco
2016	J	`jnl`	Generalization Properties and Implicit Regularization for Multiple Passes SGM. CoRR Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco
2016	J	`jnl`	Generalization Properties of Learning with Random Features. CoRR Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
2016	A*	`conf`	Holographic Embeddings of Knowledge Graphs. AAAI Maximilian Nickel, Lorenzo Rosasco, Tomaso A. Poggio
2016	J	`jnl`	Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time. CoRR Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta
2016	J	`jnl`	Incremental Semiparametric Inverse Dynamics Learning. CoRR Raffaello Camoriano, Silvio Traversaro, Lorenzo Rosasco, Giorgio Metta, Francesco Nori
2016	A*	`conf`	Incremental semiparametric inverse dynamics learning. ICRA Raffaello Camoriano, Silvio Traversaro, Lorenzo Rosasco, Giorgio Metta, Francesco Nori
2016	J	`jnl`	Iterative Regularization for Learning with Convex Loss Functions. J. Mach. Learn. Res. Junhong Lin, Lorenzo Rosasco, Ding-Xuan Zhou
2016	A	`conf`	NYTRO: When Subsampling Meets Early Stopping. AISTATS Raffaello Camoriano, Tomás Angles, Alessandro Rudi, Lorenzo Rosasco
2016	A	`conf`	Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network. IROS Giulia Pasquale, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
2016	—	`conf`	Optimal Learning for Multi-pass Stochastic Gradient Methods. NIPS Junhong Lin, Lorenzo Rosasco
2016	J	`jnl`	Optimal Learning for Multi-pass Stochastic Gradient Methods. CoRR Junhong Lin, Lorenzo Rosasco
2016	J	`jnl`	Stochastic Forward-Backward Splitting for Monotone Inclusions. J. Optim. Theory Appl. Lorenzo Rosasco, Silvia Villa, Bang Công Vu
2016	J	`jnl`	Unsupervised learning of invariant representations. Theor. Comput. Sci. Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, Tomaso A. Poggio
2016	J	`jnl`	Why and When Can Deep - but Not Shallow - Networks Avoid the Curse of Dimensionality: a Review. CoRR Tomaso A. Poggio, Hrushikesh N. Mhaskar, Lorenzo Rosasco, Brando Miranda, Qianli Liao
2015	J	`jnl`	Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig. Comput. Intell. Neurosci. Gian Luca Breschi, Carlo Ciliberto, Thierry Nieus, Lorenzo Rosasco, Stefano Taverna, Michela Chiappalone, Valentina Pasquale
2015	A*	`conf`	Convex Learning of Multiple Tasks and their Structure. ICML Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco
2015	J	`jnl`	Convex Learning of Multiple Tasks and their Structure. CoRR Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco
2015	J	`jnl`	Deep Convolutional Networks are Hierarchical Kernel Machines. CoRR Fabio Anselmi, Lorenzo Rosasco, Cheston Tan, Tomaso A. Poggio
2015	A	`conf`	Discovering discrete subword units with binarized autoencoders and hidden-Markov-model encoders. INTERSPEECH Leonardo Badino, Alessio Mereta, Lorenzo Rosasco
2015	A	`conf`	Discriminative template learning in group-convolutional networks for invariant speech representations. INTERSPEECH Chiyuan Zhang, Stephen Voinea, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio
2015	J	`jnl`	Enabling Depth-driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives. CoRR Giulia Pasquale, Tanis Mar, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
2015	J	`jnl`	Holographic Embeddings of Knowledge Graphs. CoRR Maximilian Nickel, Lorenzo Rosasco, Tomaso A. Poggio
2015	J	`jnl`	Learning Multiple Visual Tasks while Discovering their Structure. CoRR Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa
2015	A*	`conf`	Learning multiple visual tasks while discovering their structure. CVPR Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa
2015	—	`conf`	Learning with Incremental Iterative Regularization. NIPS Lorenzo Rosasco, Silvia Villa
2015	—	`conf`	Less is More: Nyström Computational Regularization. NIPS Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
2015	J	`jnl`	Less is More: Nyström Computational Regularization. CoRR Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
2015	J	`jnl`	Mathematical and Computational Foundations of Learning Theory (Dagstuhl Seminar 15361). Dagstuhl Reports Matthias Hein, Gábor Lugosi, Lorenzo Rosasco
2015	J	`jnl`	On Invariance and Selectivity in Representation Learning. CoRR Fabio Anselmi, Lorenzo Rosasco, Tomaso A. Poggio
2015	J	`jnl`	Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn? CoRR Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
2015	—	`conf`	Teaching iCub to recognize objects using deep Convolutional Neural Networks. MLIS@ICML Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
2014	J	`jnl`	A Deep Representation for Invariance And Music Classification. CoRR Chiyuan Zhang, Georgios Evangelopoulos, Stephen Voinea, Lorenzo Rosasco, Tomaso A. Poggio
2014	Misc	`conf`	A deep representation for invariance and music classification. ICASSP Chiyuan Zhang, Georgios Evangelopoulos, Stephen Voinea, Lorenzo Rosasco, Tomaso A. Poggio
2014	A	`conf`	Exploiting global force torque measurements for local compliance estimation in tactile arrays. IROS Carlo Ciliberto, Luca Fiorio, Marco Maggiali, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta, Giulio Sandini, Francesco Nori
2014	J	`jnl`	Learning An Invariant Speech Representation. CoRR Georgios Evangelopoulos, Stephen Voinea, Chiyuan Zhang, Lorenzo Rosasco, Tomaso A. Poggio
2014	B	`conf`	On efficiency and low sample complexity in phase retrieval. ISIT Youssef Mroueh, Lorenzo Rosasco
2014	A	`conf`	Phone classification by a hierarchy of invariant representation layers. INTERSPEECH Chiyuan Zhang, Stephen Voinea, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio
2014	J	`jnl`	Proximal methods for the latent group lasso penalty. Comput. Optim. Appl. Silvia Villa, Lorenzo Rosasco, Sofia Mosci, Alessandro Verri
2014	J	`jnl`	Regularization by Early Stopping for Online Learning Algorithms. CoRR Lorenzo Rosasco, Andrea Tacchetti, Silvia Villa
2014	A	`conf`	Word-level invariant representations from acoustic waveforms. INTERSPEECH Stephen Voinea, Chiyuan Zhang, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio
2013	J	`jnl`	GURLS: a Least Squares Library for Supervised Learning CoRR Andrea Tacchetti, Pavan Kumar Mallapragada, Matteo Santoro, Lorenzo Rosasco
2013	J	`jnl`	GURLS: a least squares library for supervised learning. J. Mach. Learn. Res. Andrea Tacchetti, Pavan Kumar Mallapragada, Matteo Santoro, Lorenzo Rosasco
2013	J	`jnl`	Nonparametric sparsity and regularization. J. Mach. Learn. Res. Lorenzo Rosasco, Silvia Villa, Sofia Mosci, Matteo Santoro, Alessandro Verri
2013	J	`jnl`	On Learnability, Complexity and Stability CoRR Silvia Villa, Lorenzo Rosasco, Tomaso A. Poggio
2013	—	`conf`	On Learnability, Complexity and Stability. Empirical Inference Silvia Villa, Lorenzo Rosasco, Tomaso A. Poggio
2013	—	`conf`	On the Sample Complexity of Subspace Learning. NIPS Alessandro Rudi, Guillermo D. Cañas, Lorenzo Rosasco
2013	A	`conf`	On the impact of learning hierarchical representations for visual recognition in robotics. IROS Carlo Ciliberto, Sean Ryan Fanello, Matteo Santoro, Lorenzo Natale, Giorgio Metta, Lorenzo Rosasco
2013	J	`jnl`	Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinements. CoRR Youssef Mroueh, Lorenzo Rosasco
2013	J	`jnl`	Unsupervised Learning of Invariant Representations in Hierarchical Architectures. CoRR Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, Tomaso A. Poggio
2013	—	`conf`	iCub World: Friendly Robots Help Building Good Vision Data-Sets. CVPR Workshops Sean Ryan Fanello, Carlo Ciliberto, Matteo Santoro, Lorenzo Natale, Giorgio Metta, Lorenzo Rosasco, Francesca Odone
2013	J	`jnl`	iCub World: Friendly Robots Help Building Good Vision Data-Sets. CoRR Sean Ryan Fanello, Carlo Ciliberto, Matteo Santoro, Lorenzo Natale, Giorgio Metta, Lorenzo Rosasco, Francesca Odone
2013	J	`jnl`	q-ary Compressive Sensing CoRR Youssef Mroueh, Lorenzo Rosasco
2012	J	`jnl`	Kernels for Vector-Valued Functions: A Review. Found. Trends Mach. Learn. Mauricio A. Álvarez, Lorenzo Rosasco, Neil D. Lawrence
2012	J	`jnl`	Learning Manifolds with K-Means and K-Flats CoRR Guillermo D. Cañas, Tomaso A. Poggio, Lorenzo Rosasco
2012	—	`conf`	Learning Manifolds with K-Means and K-Flats. NIPS Guillermo D. Cañas, Tomaso A. Poggio, Lorenzo Rosasco
2012	J	`jnl`	Learning Probability Measures with respect to Optimal Transport Metrics CoRR Guillermo D. Cañas, Lorenzo Rosasco
2012	—	`conf`	Learning Probability Measures with respect to Optimal Transport Metrics. NIPS Guillermo D. Cañas, Lorenzo Rosasco
2012	J	`jnl`	Multi-output learning via spectral filtering. Mach. Learn. Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri
2012	J	`jnl`	Multiclass Learning with Simplex Coding CoRR Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco, Jean-Jacques E. Slotine
2012	—	`conf`	Multiclass Learning with Simplex Coding. NIPS Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco, Jean-Jacques E. Slotine
2012	J	`jnl`	Nonparametric sparsity and regularization CoRR Lorenzo Rosasco, Silvia Villa, Sofia Mosci, Matteo Santoro, Alessandro Verri
2012	J	`jnl`	Proximal methods for the latent group lasso penalty CoRR Silvia Villa, Lorenzo Rosasco, Sofia Mosci, Alessandro Verri
2011	J	`jnl`	Kernels for Vector-Valued Functions: a Review CoRR Mauricio A. Álvarez, Lorenzo Rosasco, Neil D. Lawrence
2011	J	`jnl`	Mathematical and Computational Foundations of Learning Theory (Dagstuhl Seminar 11291). Dagstuhl Reports Matthias Hein, Gábor Lugosi, Lorenzo Rosasco, Steve Smale
2011	J	`jnl`	Online Learning, Stability, and Stochastic Gradient Descent CoRR Tomaso A. Poggio, Stephen Voinea, Lorenzo Rosasco
2010	—	`conf`	A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups. NIPS Sofia Mosci, Silvia Villa, Alessandro Verri, Lorenzo Rosasco
2010	A	`conf`	A Regularization Approach to Nonlinear Variable Selection. AISTATS Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Alessandro Verri, Silvia Villa
2010	J	`jnl`	Adaptive Kernel Methods Using the Balancing Principle. Found. Comput. Math. Ernesto De Vito, Sergei V. Pereverzyev, Lorenzo Rosasco
2010	J	`jnl`	Mathematics of the Neural Response. Found. Comput. Math. Steve Smale, Lorenzo Rosasco, Jake V. Bouvrie, Andrea Caponnetto, Tomaso A. Poggio
2010	J	`jnl`	On Learning with Integral Operators. J. Mach. Learn. Res. Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
2010	—	`conf`	Solving Structured Sparsity Regularization with Proximal Methods. ECML/PKDD (2) Sofia Mosci, Lorenzo Rosasco, Matteo Santoro, Alessandro Verri, Silvia Villa
2010	—	`conf`	Spectral Regularization for Support Estimation. NIPS Ernesto De Vito, Lorenzo Rosasco, Alessandro Toigo
2010	—	`conf`	Vector Field Learning via Spectral Filtering. ECML/PKDD (1) Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri
2009	A*	`conf`	A Note on Learning with Integral Operators. COLT Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
2009	J	`jnl`	Elastic-net regularization in learning theory. J. Complex. Christine De Mol, Ernesto De Vito, Lorenzo Rosasco
2009	—	`conf`	On Invariance in Hierarchical Models. NIPS Jake V. Bouvrie, Lorenzo Rosasco, Tomaso A. Poggio
2009	Misc	`conf`	Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents. ICIAP Nicoletta Noceti, Barbara Caputo, Claudio Castellini, Luca Baldassarre, Annalisa Barla, Lorenzo Rosasco, Francesca Odone, Giulio Sandini
2008	B	`conf`	A method for robust variable selection with significance assessment. ESANN Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
2008	J	`jnl`	Spectral Algorithms for Supervised Learning. Neural Comput. L. Lo Gerfo, Lorenzo Rosasco, Francesca Odone, Ernesto De Vito, Alessandro Verri
2007	A*	`conf`	Dimensionality reduction and generalization. ICML Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
2007	J	`jnl`	On regularization algorithms in learning theory. J. Complex. Frank Bauer, Sergei V. Pereverzev, Lorenzo Rosasco
2006	—	`—`	Regularization approaches in learning theory. Lorenzo Rosasco
2005	J	`jnl`	Learning from Examples as an Inverse Problem. J. Mach. Learn. Res. Ernesto De Vito, Lorenzo Rosasco, Andrea Caponnetto, Umberto De Giovannini, Francesca Odone
2005	J	`jnl`	Model Selection for Regularized Least-Squares Algorithm in Learning Theory. Found. Comput. Math. Ernesto De Vito, Andrea Caponnetto, Lorenzo Rosasco
2005	B	`conf`	Support vector algorithms as regularization networks. ESANN Andrea Caponnetto, Lorenzo Rosasco, Francesca Odone, Alessandro Verri
2004	J	`jnl`	Are Loss Functions All the Same?. Neural Comput. Lorenzo Rosasco, Ernesto De Vito, Andrea Caponnetto, Michele Piana, Alessandro Verri
2004	—	`conf`	Learning, Regularization and Ill-Posed Inverse Problems. NIPS Lorenzo Rosasco, Andrea Caponnetto, Ernesto De Vito, Francesca Odone, Umberto De Giovannini
2004	J	`jnl`	Some Properties of Regularized Kernel Methods J. Mach. Learn. Res. Ernesto De Vito, Lorenzo Rosasco, Andrea Caponnetto, Michele Piana, Alessandro Verri