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Guillaume Rabusseau
Associate Professor
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I am interested in tensor methods for machine learning and in designing learning algorithms for structured data by leveraging linear and multilinear algebra (e.g. spectral methods).
Papers37 papers
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KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Virtual Event..., pp.349-358, (2020)
IJCAI, (2020): 5055-5059
Mazoure Bogdan,Doan Thang, Li Tianyu, Makarenkov Vladimir,Pineau Joelle,Precup Doina,Rabusseau Guillaume
Information & Computation, pp.104654, (2019)
Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges, (2019)
AISTATS, pp.2852-2862, (2019)
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, (2019): 1.0-30
Cited by4Bibtex
arXiv: Learning, (2018)
international conference on artificial intelligence and statistics, (2018)
AISTATS, pp.679-688, (2018)
FoSSaCS, pp.513-529, (2018)
Kian Kenyon-Dean, Andre Cianflone,Lucas Page-Caccia,Guillaume Rabusseau,Jackie Chi Kit Cheung,Doina Precup
arXiv: Learning, (2018)
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