Achraf Bahamou

According to our database, Achraf Bahamou authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Optimal Pricing with a Single Point.

Amine Allouah, Achraf Bahamou, Omar Besbes

Manag. Sci., October, 2023

Topics in Deep Learning and Data-driven Optimization

Achraf Bahamou

PhD thesis, 2023

A Mini-Block Fisher Method for Deep Neural Networks.

Achraf Bahamou, Donald Goldfarb, Yi Ren

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Pricing with Samples.

Amine Allouah, Achraf Bahamou, Omar Besbes

Oper. Res., 2022

A Mini-Block Natural Gradient Method for Deep Neural Networks.

Achraf Bahamou, Donald Goldfarb, Yi Ren

CoRR, 2022

2021

Revenue Maximization from Finite Samples.

Amine Allouah, Achraf Bahamou, Omar Besbes

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

2020

Practical Quasi-Newton Methods for Training Deep Neural Networks.

Donald Goldfarb, Yi Ren, Achraf Bahamou

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

Stochastic Flows and Geometric Optimization on the Orthogonal Group.

Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tamás Sarlós, Adrian Weller, Vikas Sindhwani

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A Dynamic Sampling Adaptive-SGD Method for Machine Learning.

Achraf Bahamou, Donald Goldfarb

CoRR, 2019