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Publications
2024
Kostic R. V., Lounici K., Inzerili P., Novelli P., Pontil M.
Consistent Long-Term Forecasting of Ergodic Dynamical Systems
International Conference on Machine Learning
Conference Paper Conference
2024
Ordoñez-Apraez D., Kostic V., Turrisi G., Novelli P., Mastalli C., Semini C., Pontil M.
Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling
Learning for Dynamics & Control Conference, vol. 242, (no. 1318-1329)
DOI 10.48550/arXiv.2312.07457 Article Conference
2024
Kostic R. V., Novelli P., Grazzi R., Lounici K., Pontil M.
Learning invariant representations of time-homogeneous stochastic dynamical systems
12th International Conference on Learning Representations
Article Conference
2024
Su Z., Huang X., Ordoñez-Apraez D., Li Y., Li Z., Liao Q., Turrisi G., Pontil M., Semini C., Wu Y., Sreenath K.
Leveraging symmetry in RL-based legged locomotion control
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems
Conference Paper Conference
2024
Ordonez-Apraez D., Turrisi G., Kostic V., Martin M., Agudo A., Moreno-Noguer F., Pontil M., Semini C., Mastalli C.
Morphological symmetries in robotics
International Journal of Robotics Research
DOI 10.48550/arXiv.2402.15552 Article Journal
2023
Grazzi R., Pontil M., Salzo S.
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
Journal of Machine Learning Research
Article Journal
2023
Meanti G., Kostic V.R., Pontil M., Chatalic A., Novelli P., Rosasco L.
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
Advances in Neural Information Processing Systems, vol. 36
Conference Paper Conference
2023
Meanti G., Chatalic A., Kostic V., Novelli P., Pontil M., Rosasco L.
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
Advances in Neural Information Processing Systems
Conference Paper Conference
2023
Akhavan A., Chzhen E., Pontil M., Tsybakov A. B.
Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm
arXiv
Report E-print Archive
2023
Romeo L., Olugbade T., Pontil M., Bianchi-Berthouze N.
Multi-Rater Consensus Learning for Modeling Multiple Sparse Ratings of Affective Behaviour
IEEE Transactions on Affective Computing
DOI 10.1109/TAFFC.2023.3297270 Article Journal
2023
Cella L., Lounici K., Pacreau G., Pontil M.
Multi-task Representation Learning with Stochastic Linear Bandits
Proceedings of Machine Learning Research, vol. 206, pp. 4822-4847
Conference Paper Conference
2023
Ciliberto C., Pontil M., Stamos D.
Reexamining low rank matrix factorization for trace norm regularization
Mathematics In Engineering, vol. 5, (no. 3), pp. 1-22
Article Journal
2023
Wang R., Falk J.I.T., Pontil M., Ciliberto C.
Robust Meta-Representation Learning via Global Label Inference and Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI 10.1109/TPAMI.2023.3328184 Article Journal
2023
Kostic V.R., Novelli P., Lounici K., Pontil M.
Sharp Spectral Rates for Koopman Operator Learning
Advances in Neural Information Processing Systems, vol. 36
Conference Paper Conference
2023
Kostic V., Lounici K., Novelli P., Pontil M.
Sharp Spectral Rates for Koopman Operator Learning
Advances in Neural Information Processing Systems
Conference Paper Conference