IIT Publications Search

Publications
2023
Milicevic S., Kostic V. R.
Algorithms for computing the optimal Gersˇgorin-type localizations
Filomat, vol. 37, (no. 30), pp. 10395–10413
Article Journal
2023
Cesa-Bianchi N., Cesari T., Colomboni R., Fusco F., Leonardi S.
Bilateral Trade: A Regret Minimization Perspective
Mathematics of Operations Research
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, vol. 24, (no. 167), pp. 1-37
Article Journal
2023
Esposito E., Masoudian S., Qiu H., van der Hoeven D., Cesa-Bianchi N., Seldin Y.
Delayed Bandits: When Do Intermediate Observations Help?
Proceedings of Machine Learning Research, vol. 202, pp. 9374-9395
Conference Paper Conference
2023
Esposito E., Masoudian S., Qiu H., van der Hoeven D., Cesa-Bianchi N., and Seldin Y.
Delayed Bandits: When Do Intermediate Observations Help?
International Conference on Machine Learning
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., Gogolashvili D., Tsybakov A. B.
Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design
Journal of Machine Learning Research
Article Journal
2023
Rosati R., Romeo L., Cecchini G., Tonetto F., Viti P., Mancini A., Frontoni E.
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0
Journal of Intelligent Manufacturing, vol. 34, (no. 1), pp. 107-121
Article Journal
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
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
Ordonez-Apraez D., Martin M., Agudo A., Moreno-Noguer F.
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis
Robotics Science and Systems, pp. 8
Article Conference
2023
Eldowa K., Esposito E., Cesari T., Cesa-Bianchi C.
On the Minimax Regret for Online Learning with Feedback Graphs
Advances in Neural Information Processing Systems
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
Cesa-Bianchi N., Cesari T., Colomboni R., Fusco F., Leonardi S.
Repeated Bilateral Trade Against a Smoothed Adversary
36th Annual Conference on Learning Theory, vol. 195, pp. 1095-1130
Conference Paper Conference
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, pp. 1-16
Article Journal

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