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Behnam Neyshabur
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Bio
Research Interests
Machine Learning, Statistical Learning Theory, Optimization
• Primary area: Optimization and Generalization in Deep Learning.
• Secondary areas: Computational Biology, Binary Hashing, Matrix Factorization
Machine Learning, Statistical Learning Theory, Optimization
• Primary area: Optimization and Generalization in Deep Learning.
• Secondary areas: Computational Biology, Binary Hashing, Matrix Factorization
Papers35 papers
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ICLR 2021, (2021)
ICLR 2021, (2021)
international conference on learning representations, (2020)
ICLR, (2020)
international conference on learning representations, (2020)
NIPS 2020, (2020)
Yiding Jiang, Pierre Foret, Scott Yak,Daniel M. Roy,Hossein Mobahi, Gintare Karolina Dziugaite,Samy Bengio,Suriya Gunasekar, Isabelle Guyon,Behnam Neyshabur
ICLR, (2019)
international conference on learning representations, (2018)
Bibtex
BIOINFORMATICS, no. 17 (2018): 802-810
arXiv: Learning, (2018)
arXiv: Learning, (2018)
ICML, (2018): 254-263
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), (2017): 5947-5956
information theory and applications, (2017)
conference on learning theory, (2017)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), (2017)
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