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Massimiliano Pontil

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

Massimiliano Pontil (Ph.D. 1999, University of Genoa) is Senior Researcher at the Italian Institute of Technology (IIT), where he leads the Computational Statistics and Machine Learning group, and co-director of the ELLIS Unit Genoa, a joint effort of IIT and the University of Genoa. He is also part-time professor 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 and hyperparameter optimization. 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 130 papers at international journals and conferences. His research papers have been cited approximately 12,000 times and his h-index is 48 (source Scopus, March 2022). 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 Isaac Newton Institute for Mathematical Sciences in Cambridge, the Catholic University of Leuven, the City University of Hong Kong, the University Carlos III de Madrid and ENSAE Institute Polytechnique Paris.


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

All Publications
Pasteris S., Herbster M., Vitale F., Pontil M.
A Gang of Adversarial Bandits
Advances in Neural Information Processing Systems 35 (NeurIPS 2021)
Conference Paper Conference
Cella L., Pontil M., Gentile C.
Best Model Identification: A Rested Bandit Formulation
International Conference on Machine Learning, vol. 139, pp. 1362-1372
Conference Paper Conference
Maurer M., Pontil M.
Concentration inequalities under sub-Gaussian and sub-exponential conditions
Advances in Neural Information Processing Systems 35 (NeurIPS 2021)
Conference Paper Conference
Grazzi R., Salzo S., Pontil M.
Convergence Properties of Stochastic Hypergradients
The 24th International Conference on Artificial Intelligence and Statistics
Article Conference
Gouk H., Hospedales T. M., Pontil M.
Distance-Based Regularisation of Deep Networks for Fine-Tuning
International Conference on Learning Representations
Conference Paper Conference