Massimiliano Pontil 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.
[People] - Introduction
IIT People Search
Computational Statistics and Machine Learning
Title: Ph.D. in Physics
Institute: University of Genoa
From: 1996 To: 1999
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
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
Frecon J., Gasso G., Pontil M., Salzo S.
Bregman Neural Networks
Proceedings of the 39 th International Conference on Machine Learning
Conference Paper Conference
Awards and Achievements
co-Director ELLIS Genoa Unit
Advisory Board, Max Planck Institute for Intelligent Systems, Germany
Elected ELLIS Fellow
Best Paper Runner Up
International Conference on Machine Learning (ICML)
Journal of Machine Learning Research
Neural Information Processing Systems
Machine Learning Journal
Annual Conference on Learning Theory (COLT)
Chzhen E., Pontil M., Valera I.
Foundations of Algorithmic Fairness
American Association on Artificial Intelligence (AAAI) Area Chair
Workshop on Prioritising Online Content
Dagstuhl Workshop on "Machine Learning with Interdependent and Non-identically Distributed Data".
ICML Workshop entitled “Object, Functional and Structured Data: Towards Next Generation Kernel-Based Methods”
Colleagues of Computational Statistics and Machine Learning