IIT Publications Search

Publications
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
2022
Akhavan A., Chzhen E., Pontil M., Tsybakov A.B.
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback
Advances in Neural Information Processing Systems, vol. 35
Conference Paper Conference
2022
Tremmel C., Fernandez-Vargas J., Stamos D., Cinel C., Pontil M., Citi L., Poli R.
A meta-learning BCI for estimating decision confidence
Journal of Neural Engineering, vol. 19, (no. 4)
DOI 10.1088/1741-2552/ac7ba8 Article Journal
2022
Kostic V. R., Salzo S., Pontil M.
Batch Greenkhorn Algorithm for Entropic-Regularized Multi- marginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
International Conference on Machine Learning ICML 2022, vol. 162, pp. 11529-11558
Article Conference
2022
KostiA V.R., Salzo S., Pontil M.
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
Proceedings of Machine Learning Research, vol. 162, pp. 11529-11558
Conference Paper Conference
2022
Frecon J., Gasso G., Pontil M., Salzo S.
Bregman Neural Networks
Proceedings of Machine Learning Research, vol. 162, pp. 6779-6792
Conference Paper Conference
2022
Novelli P., Bonati L., Pontil M., Parrinello M.
Characterizing Metastable States with the Help of Machine Learning
Journal of Chemical Theory and Computation, vol. 18, (no. 9), pp. 5195-5202
DOI 10.1021/acs.jctc.2c00393 Article Journal
2022
Denevi G., Pontil M., Ciliberto C.
Conditional Meta-Learning of Linear Representations
Advances in Neural Information Processing Systems, vol. 35
Conference Paper Conference
2022
Turri G., Cavallo A., Romeo L., Pontil M., Sanfey A., Panzeri S., Becchio C.
Decoding social decisions from movement kinematics
iScience, vol. 25, (no. 12)
DOI 10.1016/j.isci.2022.105550 Article Journal
2022
Meunier D., Pontil M., Ciliberto C.
Distribution Regression with Sliced Wasserstein Kernels
Proceedings of Machine Learning Research, vol. 162, pp. 15501-15523
Conference Paper Conference
2022
Grazzi R., Akhavan A., Falk J.I.T., Cella L., Pontil M.
Group Meritocratic Fairness in Linear Contextual Bandits
Advances in Neural Information Processing Systems, vol. 35
Conference Paper Conference
2022
Grazzi R., Arkhavan A., Falk IJ., Cella L., Pontil M.
Group Meritocratic Fairness in Linear Contextual Bandits
Advances in Neural Information Processing Systems (NeurIPS 2022)
Conference Paper Conference
2022
Falk J.I.T., Ciliberto C., Pontil M.
Implicit Kernel Meta-Learning Using Kernel Integral Forms
Proceedings of Machine Learning Research, vol. 180, pp. 641-651
Conference Paper Conference
2022
Kostic V.R., Maurer A., Rosasco L., Novelli P., Ciliberto C., Pontil M.
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
Advances in Neural Information Processing Systems, vol. 35
Conference Paper Conference