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.
IIT People Search
Computational Statistics and Machine Learning
Title: Ph.D. in Physics
Institute: University of Genoa
From: 1996 To: 1999
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
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
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
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
Pedro Juan Buigues Jorro Post Doc Atomistic Simulations Computational Statistics and Machine Learning