El Hanchi, Ayoub

8 publications

NeurIPS 2025 A Geometric Analysis of PCA Ayoub El Hanchi, Murat A Erdogdu, Chris J. Maddison

COLT 2024 Minimax Linear Regression Under the Quantile Risk Ayoub El Hanchi, Chris Maddison, Murat Erdogdu

NeurIPS 2024 On the Efficiency of ERM in Feature Learning Ayoub El Hanchi, Chris J. Maddison, Murat A. Erdogdu

ICLR 2023 Contrastive Learning Can Find an Optimal Basis for Approximately View-Invariant Functions Daniel D. Johnson, Ayoub El Hanchi, Chris J. Maddison

NeurIPS 2023 Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression Ayoub El Hanchi, Murat A Erdogdu

ICMLW 2022 Contrastive Learning Can Find an Optimal Basis for Approximately Invariant Functions Daniel D. Johnson, Ayoub El Hanchi, Chris J. Maddison

ICML 2022 Stochastic Reweighted Gradient Descent Ayoub El Hanchi, David Stephens, Chris Maddison

NeurIPS 2020 Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes Ayoub El Hanchi, David Stephens