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

Stochastic Reweighted Gradient Descent. - Ayoub El Hanchi; David A. Stephens (CoRR, 2021)

Stochastic Reweighted Gradient Descent. - Ayoub El Hanchi; David A. Stephens; Chris J. Maddison (ICML, 2022)

Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions. - Daniel D. Johnson 001; Ayoub El Hanchi; Chris J. Maddison (ICLR, 2023)

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

Minimax Linear Regression under the Quantile Risk. - Ayoub El Hanchi; Chris J. Maddison; Murat A. Erdogdu (COLT, 2024)

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