I am a third year Ph.D. student in the Department of Computer Science at the University of Toronto, supervised by Chris Maddison and Murat Erdogdu. Previously, I did my M.Sc. degree in the Department of Mathematics and Statistics at McGill University under the supervision of David Stephens. Before that, I did my B.Sc. degree in Honours Mathematics and Computer Science at McGill University.

Papers

Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression.
Ayoub El Hanchi, Murat A. Erdogdu.
Conference on Neural Information Processing Systems, 2023. (To appear)
paper

Contrastive Learning Can Find an Optimal Basis for Approximately View-invariant Functions.
Daniel D. Johnson, Ayoub El Hanchi, Chris J. Maddison.
International Conference on Learning Representations, 2023.
paper

Stochastic Reweighted Gradient Descent.
Ayoub El Hanchi, David A. Stephens, Chris J. Maddison.
International Conference on Machine Learning, 2022.
paper

Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes.
Ayoub El Hanchi, David A. Stephens.
Conference on Neural Information Processing Systems, 2020.
paper