Ciliberto, Carlo

30 publications

TMLR 2024 Deep Tabular Learning via Distillation and Language Guidance Ruohan Wang, Wenhao Fu, Carlo Ciliberto

NeurIPS 2024 Operator World Models for Reinforcement Learning Pietro Novelli, Marco Pratticò, Massimiliano Pontil, Carlo Ciliberto

NeurIPS 2022 Conditional Meta-Learning of Linear Representations Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto

ICML 2022 Distribution Regression with Sliced Wasserstein Kernels Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto

NeurIPS 2022 Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil

ICML 2022 Measuring Dissimilarity with Diffeomorphism Invariance Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi

NeurIPS 2021 PSD Representations for Effective Probability Models Alessandro Rudi, Carlo Ciliberto

NeurIPS 2021 The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang, Massimiliano Pontil, Carlo Ciliberto

JMLR 2020 A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi

NeurIPS 2020 Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning Luca Oneto, Michele Donini, Giulia Luise, Carlo Ciliberto, Andreas Maurer, Massimiliano Pontil

AISTATS 2020 Hyperbolic Manifold Regression Gian Marconi, Carlo Ciliberto, Lorenzo Rosasco

NeurIPS 2020 Structured Prediction for Conditional Meta-Learning Ruohan Wang, Yiannis Demiris, Carlo Ciliberto

NeurIPS 2020 The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto

ICML 2019 Learning-to-Learn Stochastic Gradient Descent with Biased Regularization Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi, Massimiliano Pontil

ICML 2019 Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction Giulia Luise, Dimitrios Stamos, Massimiliano Pontil, Carlo Ciliberto

NeurIPS 2019 Localized Structured Prediction Carlo Ciliberto, Francis Bach, Alessandro Rudi

NeurIPS 2019 Online-Within-Online Meta-Learning Giulia Denevi, Dimitris Stamos, Carlo Ciliberto, Massimiliano Pontil

ICML 2019 Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation Ruohan Wang, Carlo Ciliberto, Pierluigi Vito Amadori, Yiannis Demiris

NeurIPS 2019 Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto

NeurIPS 2018 Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise, Alessandro Rudi, Massimiliano Pontil, Carlo Ciliberto

UAI 2018 Incremental Learning-to-Learn with Statistical Guarantees Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil

NeurIPS 2018 Learning to Learn Around a Common Mean Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil

NeurIPS 2018 Manifold Structured Prediction Alessandro Rudi, Carlo Ciliberto, GianMaria Marconi, Lorenzo Rosasco

NeurIPS 2017 Consistent Multitask Learning with Nonlinear Output Relations Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco, Massimiliano Pontil

ICCV 2017 Low Compute and Fully Parallel Computer Vision with HashMatch Sean Ryan Fanello, Julien Valentin, Adarsh Kowdle, Christoph Rhemann, Vladimir Tankovich, Carlo Ciliberto, Philip Davidson, Shahram Izadi

NeurIPS 2016 A Consistent Regularization Approach for Structured Prediction Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi

ICML 2015 Convex Learning of Multiple Tasks and Their Structure Carlo Ciliberto, Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco

CVPR 2015 Learning Multiple Visual Tasks While Discovering Their Structure Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa

CVPR 2014 Ask the Image: Supervised Pooling to Preserve Feature Locality Sean Ryan Fanello, Nicoletta Noceti, Carlo Ciliberto, Giorgio Metta, Francesca Odone

CVPRW 2013 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