基本信息
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职业迁徙
个人简介
Research interests
My main line of research is in statistical machine learning. I am particularly interested in designing large-scale learning algorithms which allow a good trade-off between computational complexity (or other resources, such as communication cost) and statistical performance.
My current research focus includes:
similarity and distance metric learning
large-scale machine learning
distributed / decentralized algorithms
optimization for machine learning
graph-based learning
statistical learning theory
applications to NLP, speech recognition and computer vision
Awards
Ph.D. award My thesis received the best Ph.D. award from the French Association for Artifical
Intelligence (AFIA) in 2013.
研究兴趣
论文共 105 篇作者统计合作学者相似作者
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arxiv(2024)
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Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere,Aurélien Bellet,Hamed Haddadi,Nicolas Papernot,Xiao Wang,Adrian Weller
ICLR 2024 (2024)
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CoRR (2024)
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CoRR (2023)
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International Conference on Artificial Intelligence and Statistics (2023): 3079-3087
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EMNLP 2023 (2023): 9018-9032
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