Massimiliano Pontil
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
78
Venues
21
Active years
1997–2025
Best venue rank
A*
Where they publish
Papers
78 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications. | Erfan Mirzaei, Andreas Maurer, Vladimir R. Kostic, Massimiliano Pontil |
| 2025 | ICLR | Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues. | Riccardo Grazzi, Julien Siems, Arber Zela, Jrg K. H. Franke, Frank Hutter, Massimiliano Pontil |
| 2025 | ICML | Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups. | Vladimir R. Kostic, Karim Lounici, Hlne Halconruy, Timothe Devergne, Pietro Novelli, Massimiliano Pontil |
| 2025 | ICML | A Bregman Proximal Viewpoint on Neural Operators. | Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo, Amaury Habrard, Massimiliano Pontil, Rmi Emonet, Marc Sebban |
| 2024 | ICLR | Learning invariant representations of time-homogeneous stochastic dynamical systems. | Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil |
| 2024 | ICML | Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates. | Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo |
| 2024 | ICML | Consistent Long-Term Forecasting of Ergodic Dynamical Systems. | Vladimir R. Kostic, Karim Lounici, Prune Inzerilli, Pietro Novelli, Massimiliano Pontil |
| 2024 | IROS | Leveraging Symmetry in RL-based Legged Locomotion Control. | Zhi Su, Xiaoyu Huang, Daniel Felipe Ordoez Apraez, Yunfei Li, Zhongyu Li, Qiayuan Liao, Giulio Turrisi, Massimiliano Pontil, Claudio Semini, Yi Wu, Koushil Sreenath |
| 2023 | AISTATS | Multi-task Representation Learning with Stochastic Linear Bandits. | Leonardo Cella, Karim Lounici, Grgoire Pacreau, Massimiliano Pontil |
| 2022 | ICML | Bregman Neural Networks. | Jordan Frcon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo |
| 2022 | ICML | Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity. | Vladimir R. Kostic, Saverio Salzo, Massimiliano Pontil |
| 2022 | ICML | Distribution Regression with Sliced Wasserstein Kernels. | Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto |
| 2022 | UAI | Implicit kernel meta-learning using kernel integral forms. | John Isak Texas Falk, Carlo Ciliberto, Massimiliano Pontil |
| 2022 | UAI | Multi-source domain adaptation via weighted joint distributions optimal transport. | Rosanna Turrisi, Rmi Flamary, Alain Rakotomamonjy, Massimiliano Pontil |
| 2021 | AISTATS | Convergence Properties of Stochastic Hypergradients. | Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo |
| 2021 | ICLR | Distance-Based Regularisation of Deep Networks for Fine-Tuning. | Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil |
| 2021 | ICML | Best Model Identification: A Rested Bandit Formulation. | Leonardo Cella, Massimiliano Pontil, Claudio Gentile |
| 2021 | ICML | Robust Unsupervised Learning via L-statistic Minimization. | Andreas Maurer, Daniela Angela Parletta, Andrea Paudice, Massimiliano Pontil |
| 2021 | UAI | Multi-task and meta-learning with sparse linear bandits. | Leonardo Cella, Massimiliano Pontil |
| 2020 | DSAA | Learning Fair and Transferable Representations with Theoretical Guarantees. | Luca Oneto, Michele Donini, Massimiliano Pontil, Andreas Maurer |
| 2020 | ICML | Meta-learning with Stochastic Linear Bandits. | Leonardo Cella, Alessandro Lazaric, Massimiliano Pontil |
| 2020 | ICML | On the Iteration Complexity of Hypergradient Computation. | Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo |
| 2020 | ICPR | Unveiling Groups of Related Tasks in Multi - Task Learning. | Jordan Frcon, Saverio Salzo, Massimiliano Pontil |
| 2020 | IJCAI | Marthe: Scheduling the Learning Rate Via Online Hypergradients. | Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi |
| 2020 | IJCNN | General Fair Empirical Risk Minimization. | Luca Oneto, Michele Donini, Massimiliano Pontil |
| 2020 | UAI | Online Parameter-Free Learning of Multiple Low Variance Tasks. | Giulia Denevi, Massimiliano Pontil, Dimitrios Stamos |
| 2019 | AIES | Taking Advantage of Multitask Learning for Fair Classification. | Luca Oneto, Michele Donini, Amon Elders, Massimiliano Pontil |
| 2019 | COLT | Uniform concentration and symmetrization for weak interactions. | Andreas Maurer, Massimiliano Pontil |
| 2019 | ESANN | PAC-Bayes and Fairness: Risk and Fairness Bounds on Distribution Dependent Fair Priors. | Luca Oneto, Michele Donini, Massimiliano Pontil |
| 2019 | ICML | Learning-to-Learn Stochastic Gradient Descent with Biased Regularization. | Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi, Massimiliano Pontil |
| 2019 | ICML | Learning Discrete Structures for Graph Neural Networks. | Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He |
| 2019 | ICML | Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction. | Giulia Luise, Dimitrios Stamos, Massimiliano Pontil, Carlo Ciliberto |
| 2018 | COLT | Empirical bounds for functions with weak interactions. | Andreas Maurer, Massimiliano Pontil |
| 2018 | ICML | Bilevel Programming for Hyperparameter Optimization and Meta-Learning. | Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil |
| 2018 | UAI | Incremental Learning-to-Learn with Statistical Guarantees. | Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil |
| 2017 | AISTATS | Regret Bounds for Lifelong Learning. | Pierre Alquier, The Tien Mai, Massimiliano Pontil |
| 2017 | ICLR | On Hyperparameter Optimization in Learning Systems. | Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil |
| 2017 | ICML | Forward and Reverse Gradient-Based Hyperparameter Optimization. | Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil |
| 2017 | Interspeech | A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion. | Leonardo Badino, Luca Franceschi, Raman Arora, Michele Donini, Massimiliano Pontil |
| 2016 | AISTATS | Fitting Spectral Decay with the k-Support Norm. | Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos |
| 2016 | CVPR | Unsupervised Cross-Dataset Transfer Learning for Person Re-identification. | Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian |
| 2016 | IJCNN | Distributed variance regularized Multitask Learning. | Michele Donini, David Martnez-Rego, Martin Goodson, John Shawe-Taylor, Massimiliano Pontil |
| 2016 | ICPRAM | Similarity Function Learning with Data Uncertainty. | Julien Bohn, Sylvain Colin, Stphane Gentric, Massimiliano Pontil |
| 2015 | CVPR | Learning with dataset bias in latent subcategory models. | Dimitris Stamos, Samuele Martelli, Moin Nabi, Andrew M. McDonald, Vittorio Murino, Massimiliano Pontil |
| 2014 | COLT | An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. | Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes |
| 2014 | ECCV | Large Margin Local Metric Learning. | Julien Bohn, Yiming Ying, Stphane Gentric, Massimiliano Pontil |
| 2013 | COLT | Excess risk bounds for multitask learning with trace norm regularization. | Massimiliano Pontil, Andreas Maurer |
| 2013 | ICML | Sparse coding for multitask and transfer learning. | Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes |
| 2013 | ICML | Multilinear Multitask Learning. | Bernardino Romera-Paredes, Hane Aung, Nadia Bianchi-Berthouze, Massimiliano Pontil |
| 2012 | ICML | Modelling transition dynamics in MDPs with RKHS embeddings. | Steffen Grnewlder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton |
| 2012 | ICML | Conditional mean embeddings as regressors. | Steffen Grnewlder, Guy Lever, Arthur Gretton, Luca Baldassarre, Sam Patterson, Massimiliano Pontil |
| 2011 | ICWSM | An Empirical Study of Geographic User Activity Patterns in Foursquare. | Anastasios Noulas, Salvatore Scellato, Cecilia Mascolo, Massimiliano Pontil |
| 2011 | ICWSM | Exploiting Semantic Annotations for Clustering Geographic Areas and Users in Location-based Social Networks. | Anastasios Noulas, Salvatore Scellato, Cecilia Mascolo, Massimiliano Pontil |
| 2009 | COLT | Taking Advantage of Sparsity in Multi-Task Learning. | Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov, Sara A. van de Geer |
| 2009 | COLT | Empirical Bernstein Bounds and Sample-Variance Penalization. | Andreas Maurer, Massimiliano Pontil |
| 2008 | ALT | A Uniform Lower Error Bound for Half-Space Learning. | Andreas Maurer, Massimiliano Pontil |
| 2008 | ALT | Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces. | Andreas Maurer, Massimiliano Pontil |
| 2006 | ICML | A DC-programming algorithm for kernel selection. | Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil |
| 2005 | COLT | Learning Convex Combinations of Continuously Parameterized Basic Kernels. | Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil |
| 2005 | ICML | Online learning over graphs. | Mark Herbster, Massimiliano Pontil, Lisa Wainer |
| 2004 | COLT | A Function Representation for Learning in Banach Spaces. | Charles A. Micchelli, Massimiliano Pontil |
| 2004 | KDD | Regularized multi--task learning. | Theodoros Evgeniou, Massimiliano Pontil |
| 2003 | ESANN | Reproducing kernels and regularization methods in machine learning. | Massimiliano Pontil |
| 2003 | ESANN | On different ensembles of kernel machines. | Michiko Yamana, Hiroyuki Nakahara, Massimiliano Pontil, Shun-ichi Amari |
| 2002 | ECAI | A Simple Algorithm for Learning Stable Machines. | Savina Andonova, Andr Elisseeff, Theodoros Evgeniou, Massimiliano Pontil |
| 2002 | ECAI | From Margins to Probabilities in Multiclass Learning Problems. | Andrea Passerini, Massimiliano Pontil, Paolo Frasconi |
| 2001 | CVPR | Component-based Face Detection. | Bernd Heisele, Thomas Serre, Massimiliano Pontil, Tomaso A. Poggio |
| 2000 | ALT | A Note on the Generalization Performance of Kernel Classifiers with Margin. | Theodoros Evgeniou, Massimiliano Pontil |
| 2000 | ALT | On the Noise Model of Support Vector Machines Regression. | Massimiliano Pontil, Sayan Mukherjee, Federico Girosi |
| 2000 | ICML | Bounds on the Generalization Performance of Kernel Machine Ensembles. | Theodoros Evgeniou, Luis Prez-Breva, Massimiliano Pontil, Tomaso A. Poggio |
| 2000 | ICPR | Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation. | Chikahito Nakajima, Norihiko Itoh, Massimiliano Pontil, Tomaso A. Poggio |
| 2000 | IJCNN | People Recognition and Pose Estimation in Image Sequences. | Chikahito Nakajima, Massimiliano Pontil, Tomaso A. Poggio |
| 1999 | ALT | On the V | Theodoros Evgeniou, Massimiliano Pontil |
| 1999 | ALT | A Note on Support Vector Machine Degeneracy. | Ryan M. Rifkin, Massimiliano Pontil, Alessandro Verri |
| 1999 | ESANN | Support vector machines vs multi-layer perceptrons in particle identification. | N. Barabino, M. Pallavicini, Alessandro Petrolini, Massimiliano Pontil, Alessandro Verri |
| 1999 | ESANN | From regression to classification in support vector machines. | Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou |
| 1998 | ECCV | Recognizing 3-D Objects with Linear Support Vector Machines. | Massimiliano Pontil, Stefano Rogai, Alessandro Verri |
| 1997 | ICIAP | Direct Aspect-Based 3D Object Recognition. | Massimiliano Pontil, Alessandro Verri |