Ayoub El Hanchi

According to our database, Ayoub El Hanchi authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On the Efficiency of ERM in Feature Learning.

Ayoub El Hanchi, Chris J. Maddison, Murat A. Erdogdu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Minimax Linear Regression under the Quantile Risk.

Ayoub El Hanchi, Chris J. Maddison, Murat A. Erdogdu

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression.

Ayoub El Hanchi, Murat A. Erdogdu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions.

Daniel D. Johnson, Ayoub El Hanchi, Chris J. Maddison

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Stochastic Reweighted Gradient Descent.

Ayoub El Hanchi, David A. Stephens, Chris J. Maddison

Proceedings of the International Conference on Machine Learning, 2022

2021

Stochastic Reweighted Gradient Descent.

Ayoub El Hanchi, David A. Stephens

CoRR, 2021

2020

Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes.

Ayoub El Hanchi, David A. Stephens

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020