Lorenzo Rosasco
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
16
Active years
2005–2025
Best venue rank
A*
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Towards a learning theory of representation alignment. | Francesco Insulla, Shuo Huang, Lorenzo Rosasco |
| 2024 | ICRA | Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors. | Gabriele M. Caddeo, Andrea Maracani, Paolo Didier Alfano, Nicola A. Piga, Lorenzo Rosasco, Lorenzo Natale |
| 2023 | CoRL | Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees. | Edoardo Caldarelli, Antoine Chatalic, Adri Colom, Lorenzo Rosasco, Carme Torras |
| 2023 | IROS | A Grasp Pose is All You Need: Learning Multi-Fingered Grasping with Deep Reinforcement Learning from Vision and Touch. | Federico Ceola, Elisa Maiettini, Lorenzo Rosasco, Lorenzo Natale |
| 2022 | AISTATS | Mean Nystrm Embeddings for Adaptive Compressive Learning. | Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco |
| 2022 | AISTATS | Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. | Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco |
| 2022 | AISTATS | Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization. | Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco |
| 2022 | ICML | Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times. | Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco |
| 2022 | ICML | Nystrm Kernel Mean Embeddings. | Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, Alessandro Rudi |
| 2022 | ICML | Multiclass learning with margin: exponential rates with no bias-variance trade-off. | Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco |
| 2022 | ICPR | Efficient Unsupervised Learning for Plankton Images. | Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore |
| 2022 | RO-MAN | From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach. | Elisa Maiettini, Andrea Maracani, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale |
| 2021 | AISTATS | Iterative regularization for convex regularizers. | Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa |
| 2021 | AISTATS | Asymptotics of Ridge(less) Regression under General Source Condition. | Dominic Richards, Jaouad Mourtada, Lorenzo Rosasco |
| 2021 | AISTATS | Regularized ERM on random subspaces. | Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito, Lorenzo Rosasco |
| 2021 | ICRA | Fast Object Segmentation Learning with Kernel-based Methods for Robotics. | Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale |
| 2020 | AISTATS | Hyperbolic Manifold Regression. | Gian Maria Marconi, Carlo Ciliberto, Lorenzo Rosasco |
| 2020 | AISTATS | Gain with no Pain: Efficiency of Kernel-PCA by Nystrm Sampling. | Nicholas Sterge, Bharath K. Sriperumbudur, Lorenzo Rosasco, Alessandro Rudi |
| 2020 | ICML | Near-linear time Gaussian process optimization with adaptive batching and resparsification. | Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco |
| 2020 | ICML | Decentralised Learning with Random Features and Distributed Gradient Descent. | Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco |
| 2019 | COLT | Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret. | Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco |
| 2019 | ICIAP | Genuine Personality Recognition from Highly Constrained Face Images. | Fabio Anselmi, Nicoletta Noceti, Lorenzo Rosasco, Robert Ward |
| 2019 | IROS | Learning to Sequence Multiple Tasks with Competing Constraints. | Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci |
| 2018 | AISTATS | Solving lp-norm regularization with tensor kernels. | Saverio Salzo, Lorenzo Rosasco, Johan A. K. Suykens |
| 2018 | COLT | Iterate Averaging as Regularization for Stochastic Gradient Descent. | Gergely Neu, Lorenzo Rosasco |
| 2018 | IROS | Speeding-Up Object Detection Training for Robotics with FALKON. | Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale |
| 2017 | ICRA | Incremental robot learning of new objects with fixed update time. | Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta |
| 2016 | AAAI | Holographic Embeddings of Knowledge Graphs. | Maximilian Nickel, Lorenzo Rosasco, Tomaso A. Poggio |
| 2016 | AISTATS | NYTRO: When Subsampling Meets Early Stopping. | Raffaello Camoriano, Toms Angles, Alessandro Rudi, Lorenzo Rosasco |
| 2016 | ICML | Generalization Properties and Implicit Regularization for Multiple Passes SGM. | Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco |
| 2016 | ICRA | Incremental semiparametric inverse dynamics learning. | Raffaello Camoriano, Silvio Traversaro, Lorenzo Rosasco, Giorgio Metta, Francesco Nori |
| 2016 | IROS | Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network. | Giulia Pasquale, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale |
| 2015 | CVPR | Learning multiple visual tasks while discovering their structure. | Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa |
| 2015 | ICML | Convex Learning of Multiple Tasks and their Structure. | Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco |
| 2015 | ICML | Teaching iCub to recognize objects using deep Convolutional Neural Networks. | Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale |
| 2015 | Interspeech | Discovering discrete subword units with binarized autoencoders and hidden-Markov-model encoders. | Leonardo Badino, Alessio Mereta, Lorenzo Rosasco |
| 2015 | Interspeech | Discriminative template learning in group-convolutional networks for invariant speech representations. | Chiyuan Zhang, Stephen Voinea, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio |
| 2014 | ICASSP | A deep representation for invariance and music classification. | Chiyuan Zhang, Georgios Evangelopoulos, Stephen Voinea, Lorenzo Rosasco, Tomaso A. Poggio |
| 2014 | Interspeech | Word-level invariant representations from acoustic waveforms. | Stephen Voinea, Chiyuan Zhang, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio |
| 2014 | Interspeech | Phone classification by a hierarchy of invariant representation layers. | Chiyuan Zhang, Stephen Voinea, Georgios Evangelopoulos, Lorenzo Rosasco, Tomaso A. Poggio |
| 2014 | IROS | Exploiting global force torque measurements for local compliance estimation in tactile arrays. | Carlo Ciliberto, Luca Fiorio, Marco Maggiali, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta, Giulio Sandini, Francesco Nori |
| 2014 | ISIT | On efficiency and low sample complexity in phase retrieval. | Youssef Mroueh, Lorenzo Rosasco |
| 2013 | CVPR | iCub World: Friendly Robots Help Building Good Vision Data-Sets. | Sean Ryan Fanello, Carlo Ciliberto, Matteo Santoro, Lorenzo Natale, Giorgio Metta, Lorenzo Rosasco, Francesca Odone |
| 2013 | IROS | On the impact of learning hierarchical representations for visual recognition in robotics. | Carlo Ciliberto, Sean Ryan Fanello, Matteo Santoro, Lorenzo Natale, Giorgio Metta, Lorenzo Rosasco |
| 2009 | COLT | A Note on Learning with Integral Operators. | Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito |
| 2009 | ICIAP | Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents. | Nicoletta Noceti, Barbara Caputo, Claudio Castellini, Luca Baldassarre, Annalisa Barla, Lorenzo Rosasco, Francesca Odone, Giulio Sandini |
| 2008 | ESANN | A method for robust variable selection with significance assessment. | Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Alessandro Verri |
| 2007 | ICML | Dimensionality reduction and generalization. | Sofia Mosci, Lorenzo Rosasco, Alessandro Verri |
| 2005 | ESANN | Support vector algorithms as regularization networks. | Andrea Caponnetto, Lorenzo Rosasco, Francesca Odone, Alessandro Verri |