‪Ayoub El Hanchi‬ - ‪Google Scholar‬

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Citations	34	34
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i10-index	2	2

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Co-authors

Chris J. MaddisonUniversity of TorontoVerified email at cs.toronto.edu
Daniel D. JohnsonResearch Scientist, Google DeepMind / University of TorontoVerified email at google.com
David A. StephensProfessor, Department of Mathematics and Statistics, McGill UniversityVerified email at mcgill.ca
Murat A. ErdogduUniversity of TorontoVerified email at stanford.edu

Ayoub El Hanchi

Ayoub El Hanchi

University of Toronto

Verified email at cs.toronto.edu - Homepage

Machine learning Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Contrastive learning can find an optimal basis for approximately view-invariant functions DD Johnson, A El Hanchi, CJ Maddison International Conference on Learning Representations, 2023	18	2023
Adaptive importance sampling for finite-sum optimization and sampling with decreasing step-sizes A El Hanchi, D Stephens Advances in Neural Information Processing Systems 33, 15702-15713, 2020	12	2020
Stochastic Reweighted Gradient Descent A El Hanchi, D Stephens, C Maddison International Conference on Machine Learning, 8359-8374, 2022	4	2022
Optimal Excess Risk Bounds for Empirical Risk Minimization on -norm Linear Regression A El Hanchi, MA Erdogdu Advances in Neural Information Processing Systems, 2023		2023

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