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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.
研究兴趣
论文共 281 篇作者统计合作学者相似作者
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Zhi Su,Xiaoyu Huang, Daniel Ordoñez-Apraez,Yunfei Li,Zhongyu Li, Qiayuan Liao,Giulio Turrisi,Massimiliano Pontil,Claudio Semini,Yi Wu,Koushil Sreenath
arxiv(2024)
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Daniel Ordoñez-Apraez,Giulio Turrisi,Vladimir Kostic,Mario Martin,Antonio Agudo, Francesc Moreno-Noguer,Massimiliano Pontil,Claudio Semini,Carlos Mastalli
CoRR (2024)
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IEEE transactions on pattern analysis and machine intelligenceno. 4 (2024): 1996-2010
arXiv (Cornell University) (2023)
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CoRR (2023)
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NeurIPS (2023)
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JOURNAL OF MACHINE LEARNING RESEARCH (2023): 167:1-167:37
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