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Massimiliano Pontil

Senior Researcher Tenured - Principal Investigator
Computational Statistics and Machine Learning
Research center

Massimiliano Pontil is Senior Researcher at the Italian Institute of Technology (IIT), where he leads the Computational Statistics and Machine Learning unit, and co-director of the ELLIS Unit Genoa, a joint effort of IIT and the University of Genoa. He is also Professor of Computational Statistics and Machine Learning at University College London and member of the UCL Centre for Artificial Intelligence. He has made significant contributions to machine learning, particularly in the areas of kernel methods, multitask and transfer learning, sparsity regularization and statistical learning theory. Recent interests include meta-learning, algorithm fairness, hyperparameter optimization, and learning dynamical systems. He was awarded the Best Paper Runner Up Award from ICML 2013, an EPSRC Advanced Research Fellowship in 2006-2011, and the Edoardo R. Caianiello Award for the Best Italian PhD Thesis on Connectionism in 2002.  He has published about 180 papers at international journals and conferences. His research papers have been cited over 14,000 times and his h-index is 53 (source Scopus, July 2023). He is regularly on the programme committee of the main machine learning conferences (COLT, ICML and NeurIPS), has been on the editorial board of the Machine Learning Journal, Statistics and Computing, JMLR, and was on the Scientific Advisory Board of Max Planck Institute for Intelligent Systems during 2013-2020. He has held visiting positions at a number of universities and research institutes, including the Massachusetts Institute of Technology, the City University of Hong Kong, the Isaac Newton Institute for Mathematical Sciences in Cambridge, the University Carlos III de Madrid, ENSAE Institut Polytechnique Paris, and École Polytechnique.


Title: Ph.D. in Physics
Institute: University of Genoa
Location: Genoa
Country: Italy
From: 1996 To: 1999

All Publications
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
Article Journal
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
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
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)
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
Awards and Achievements
Pontil M.
co-Director ELLIS Genoa Unit
Pontil M.
Spoke Leader
Pontil M.
Advisory Board, Max Planck Institute for Intelligent Systems, Germany
Pontil M.
Elected ELLIS Fellow
Pontil M.
Best Paper Runner Up
Pontil M.
International Conference on Machine Learning (ICML)
Pontil M.
Journal of Machine Learning Research
Pontil M.
Neural Information Processing Systems
Pontil M.
Machine Learning Journal
Pontil M.
Annual Conference on Learning Theory (COLT)
Organized Events
Chzhen E., Pontil M., Valera I.
Foundations of Algorithmic Fairness
Pontil M.
American Association on Artificial Intelligence (AAAI) Area Chair
Pontil M.
Workshop on Prioritising Online Content
Pontil M.
Dagstuhl Workshop on "Machine Learning with Interdependent and Non-identically Distributed Data".
Pontil M.
ICML Workshop entitled “Object, Functional and Structured Data: Towards Next Generation Kernel-Based Methods”