Lorenzo Rosasco

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 188

Top Venues

Publications

Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
Iterative regularization for low complexity regularizers. Numerische Mathematik 156 (2) (2024)
Gabriele M. Caddeo, Andrea Maracani, Paolo Didier Alfano, Nicola A. Piga, Lorenzo Rosasco, Lorenzo Natale
Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors. ICRA (2024)
Anqing Duan, Iason Batzianoulis, Raffaello Camoriano, Lorenzo Rosasco, Daniele Pucci, Aude Billard
A structured prediction approach for robot imitation learning. Int. J. Robotics Res. 43 (2) (2024)
Paolo Didier Alfano, Vito Paolo Pastore, Lorenzo Rosasco, Francesca Odone
Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods. Image Vis. Comput. 142 (2024)
Federico Ceola, Lorenzo Rosasco, Lorenzo Natale
RESPRECT: Speeding-up Multi-Fingered Grasping With Residual Reinforcement Learning. IEEE Robotics Autom. Lett. 9 (4) (2024)
Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis. CoRR (2024)
Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection. CoRR (2024)
Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna
Neural reproducing kernel Banach spaces and representer theorems for deep networks. CoRR (2024)
Federico Ceola, Lorenzo Rosasco, Lorenzo Natale
RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning. CoRR (2024)
Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Cesare Molinari, Carlos Ocampo-Martinez, Carme Torras, Lorenzo Rosasco
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method. CoRR (2024)
Marco Rando, Martin James, Alessandro Verri, Lorenzo Rosasco, Agnese Seminara
Q-Learning to navigate turbulence without a map. CoRR (2024)
Giacomo Meanti, Antoine Chatalic, Vladimir R. Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
Estimating Koopman operators with sketching to provably learn large scale dynamical systems. CoRR (2023)
Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti
Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test. CoRR (2023)
Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti
Fast kernel methods for data quality monitoring as a goodness-of-fit test. Mach. Learn. Sci. Technol. 4 (3) (2023)
Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello
Scalable Causal Discovery with Score Matching. CLeaR (2023)
Francesco Montagna, Atalanti-Anastasia Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, Francesco Locatello
Assumption violations in causal discovery and the robustness of score matching. CoRR (2023)
Anqing Duan, Wanli Liuchen, Jinsong Wu, Raffaello Camoriano, Lorenzo Rosasco, David Navarro-Alarcon
Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures. CoRR (2023)
Federico Ceola, Elisa Maiettini, Lorenzo Rosasco, Lorenzo Natale
A Grasp Pose is All You Need: Learning Multi-Fingered Grasping with Deep Reinforcement Learning from Vision and Touch. IROS (2023)
Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello
Scalable Causal Discovery with Score Matching. CoRR (2023)
Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation. CoRR (2023)
Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry. Math. Program. 198 (1) (2023)
Federico Ceola, Elisa Maiettini, Lorenzo Rosasco, Lorenzo Natale
A Grasp Pose is All You Need: Learning Multi-fingered Grasping with Deep Reinforcement Learning from Vision and Touch. CoRR (2023)
David Kozak, Cesare Molinari, Lorenzo Rosasco, Luis Tenorio, Silvia Villa
Zeroth-order optimization with orthogonal random directions. Math. Program. 199 (1) (2023)
Giacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
Estimating Koopman operators with sketching to provably learn large scale dynamical systems. NeurIPS (2023)
Francesco Montagna, Atalanti-Anastasia Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, Francesco Locatello
Assumption violations in causal discovery and the robustness of score matching. NeurIPS (2023)
Gabriele M. Caddeo, Andrea Maracani, Paolo Didier Alfano, Nicola A. Piga, Lorenzo Rosasco, Lorenzo Natale
Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors. CoRR (2023)
Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Francesco Locatello
Shortcuts for causal discovery of nonlinear models by score matching. CoRR (2023)
Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling. CoRR (2023)
Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Lorenzo Rosasco, Carme Torras
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees. CoRL (2023)
Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization. NeurIPS (2023)
Bernhard Stankewitz, Nicole Mücke, Lorenzo Rosasco
From inexact optimization to learning via gradient concentration. Comput. Optim. Appl. 84 (1) (2023)
Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise. CoRR (2023)
Anqing Duan, Iason Batzianoulis, Raffaello Camoriano, Lorenzo Rosasco, Daniele Pucci, Aude Billard
A Structured Prediction Approach for Robot Imitation Learning. CoRR (2023)
Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, Francesco Locatello
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise. CLeaR (2023)
Vassilis Apidopoulos, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
Regularization Properties of Dual Subgradient Flow. ECC (2023)
Pierre Laforgue, Andrea Della Vecchia, Nicolò Cesa-Bianchi, Lorenzo Rosasco
AdaTask: Adaptive Multitask Online Learning. CoRR (2022)
Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. CoRR (2022)
Marco Letizia, Gianvito Losapio, Marco Rando, Gaia Grosso, Andrea Wulzer, Maurizio Pierini, Marco Zanetti, Lorenzo Rosasco
Learning new physics efficiently with nonparametric methods. CoRR (2022)
Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
Multiclass learning with margin: exponential rates with no bias-variance trade-off. CoRR (2022)
Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore
Efficient Unsupervised Learning for Plankton Images. CoRR (2022)
Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. NeurIPS (2022)
Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore
Efficient Unsupervised Learning for Plankton Images. ICPR (2022)
Daniele Lagomarsino-Oneto, Giacomo Meanti, Nicolò Pagliana, Alessandro Verri, Andrea Mazzino, Lorenzo Rosasco, Agnese Seminara
Physics Informed Shallow Machine Learning for Wind Speed Prediction. CoRR (2022)
Elisa Maiettini, Andrea Maracani, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach. RO-MAN (2022)
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times. CoRR (2022)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot. IEEE Trans. Robotics 38 (5) (2022)
Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, Alessandro Rudi
Nyström Kernel Mean Embeddings. ICML (2022)
Paolo Maria Viceconte, Raffaello Camoriano, Giulio Romualdi, Diego Ferigo, Stefano Dafarra, Silvio Traversaro, Giuseppe Oriolo, Lorenzo Rosasco, Daniele Pucci
ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots. IEEE Robotics Autom. Lett. 7 (2) (2022)
Emilia Magnani, Nicholas Krämer, Runa Eschenhagen, Lorenzo Rosasco, Philipp Hennig
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs. CoRR (2022)
Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization. AISTATS (2022)
Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco
Stochastic Zeroth order Descent with Structured Directions. CoRR (2022)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot. CoRR (2022)
Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. AISTATS (2022)
Antoine Chatalic, Nicolas Schreuder, Alessandro Rudi, Lorenzo Rosasco
Nyström Kernel Mean Embeddings. CoRR (2022)
Cristian Rusu, Lorenzo Rosasco
Fast approximation of orthogonal matrices and application to PCA. Signal Process. 194 (2022)
Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
Multiclass learning with margin: exponential rates with no bias-variance trade-off. ICML (2022)
Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Mean Nyström Embeddings for Adaptive Compressive Learning. AISTATS (2022)
Paolo Didier Alfano, Vito Paolo Pastore, Lorenzo Rosasco, Francesca Odone
Fine-tuning or top-tuning? Transfer learning with pretrained features and fast kernel methods. CoRR (2022)
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times. ICML (2022)
Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. CoRR (2022)
Vassilis Apidopoulos, Tomaso A. Poggio, Lorenzo Rosasco, Silvia Villa
Iterative regularization in classification via hinge loss diagonal descent. CoRR (2022)
Jaouad Mourtada, Lorenzo Rosasco
An elementary analysis of ridge regression with random design. CoRR (2022)
Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito, Lorenzo Rosasco
Regularized ERM on random subspaces. AISTATS (2021)
Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization. CoRR (2021)
Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Mean Nyström Embeddings for Adaptive Compressive Learning. CoRR (2021)
Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models. IEEE Robotics Autom. Lett. 6 (3) (2021)
Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions. CoRR (2021)
Cristian Rusu, Lorenzo Rosasco
Constructing Fast Approximate Eigenspaces With Application to the Fast Graph Fourier Transforms. IEEE Trans. Signal Process. 69 (2021)
Diego Ferigo, Raffaello Camoriano, Paolo Maria Viceconte, Daniele Calandriello, Silvio Traversaro, Lorenzo Rosasco, Daniele Pucci
On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning. IEEE Robotics Autom. Lett. 6 (4) (2021)
Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions. NeurIPS (2021)
Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna
Understanding neural networks with reproducing kernel Banach spaces. CoRR (2021)
Diego Ferigo, Raffaello Camoriano, Paolo Maria Viceconte, Daniele Calandriello, Silvio Traversaro, Lorenzo Rosasco, Daniele Pucci
On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning. CoRR (2021)
Dominic Richards, Jaouad Mourtada, Lorenzo Rosasco
Asymptotics of Ridge(less) Regression under General Source Condition. AISTATS (2021)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
Fast Object Segmentation Learning with Kernel-based Methods for Robotics. ICRA (2021)
Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models. CoRR (2021)
Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
Iterative regularization for convex regularizers. AISTATS (2021)
Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Accelerated Iterative Regularization via Dual Diagonal Descent. SIAM J. Optim. 31 (1) (2021)
Bernhard Stankewitz, Nicole Mücke, Lorenzo Rosasco
From inexact optimization to learning via gradient concentration. CoRR (2021)
Gian Maria Marconi, Carlo Ciliberto, Lorenzo Rosasco
Hyperbolic Manifold Regression. AISTATS (2020)
Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings. CoRR (2020)
Cristian Rusu, Lorenzo Rosasco
Constructing fast approximate eigenspaces with application to the fast graph Fourier transforms. CoRR (2020)
Nicholas Sterge, Bharath Sriperumbudur, Lorenzo Rosasco, Alessandro Rudi
Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling. AISTATS (2020)
Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito, Lorenzo Rosasco
Regularized ERM on random subspaces. CoRR (2020)
Akshay Rangamani, Lorenzo Rosasco, Tomaso A. Poggio
For interpolating kernel machines, the minimum norm ERM solution is the most stable. CoRR (2020)
Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco
Decentralised Learning with Random Features and Distributed Gradient Descent. ICML (2020)
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification. CoRR (2020)
Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco
Decentralised Learning with Random Features and Distributed Gradient Descent. CoRR (2020)
Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
On-line object detection: a robotics challenge. Auton. Robots 44 (5) (2020)
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
Near-linear time Gaussian process optimization with adaptive batching and resparsification. ICML (2020)
Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci
Learning to Avoid Obstacles With Minimal Intervention Control. Frontiers Robotics AI 7 (2020)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
Fast Object Segmentation Learning with Kernel-based Methods for Robotics. CoRR (2020)
Elisa Maiettini, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics. CoRR (2020)
Gian Maria Marconi, Lorenzo Rosasco, Carlo Ciliberto
Hyperbolic Manifold Regression. CoRR (2020)
Xuefei Lu, Alessandro Rudi, Emanuele Borgonovo, Lorenzo Rosasco
Faster Kriging: Facing High-Dimensional Simulators. Oper. Res. 68 (1) (2020)
Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi
Kernel methods through the roof: handling billions of points efficiently. CoRR (2020)
Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi
Kernel Methods Through the Roof: Handling Billions of Points Efficiently. NeurIPS (2020)
Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
Implicit regularization for convex regularizers. CoRR (2020)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
Fast Region Proposal Learning for Object Detection for Robotics. CoRR (2020)
Nicolò Pagliana, Alessandro Rudi, Ernesto De Vito, Lorenzo Rosasco
Interpolation and Learning with Scale Dependent Kernels. CoRR (2020)
Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings. J. Mach. Learn. Res. 21 (2020)

Lorenzo Rosasco.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Lorenzo Rosasco