Achraf Bahamou

14 papers A* 4A 1Journal 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Fast Revenue Maximization.
CoRR
Achraf Bahamou, Omar Besbes, Omar Mouchtaki
2023 A conf
A Mini-Block Fisher Method for Deep Neural Networks.
AISTATS
Achraf Bahamou, Donald Goldfarb, Yi Ren
2023 J jnl
Optimal Pricing with a Single Point.
Manag. Sci.
Amine Allouah, Achraf Bahamou, Omar Besbes
2023 — —
Topics in Deep Learning and Data-driven Optimization
Achraf Bahamou
2022 J jnl
A Mini-Block Natural Gradient Method for Deep Neural Networks.
CoRR
Achraf Bahamou, Donald Goldfarb, Yi Ren
2022 J jnl
Pricing with Samples.
Oper. Res.
Amine Allouah, Achraf Bahamou, Omar Besbes
2021 A* conf
Optimal Pricing with a Single Point.
EC
Amine Allouah, Achraf Bahamou, Omar Besbes
2021 J jnl
Optimal Pricing with a Single Point.
CoRR
Amine Allouah, Achraf Bahamou, Omar Besbes
2021 A* conf
Revenue Maximization from Finite Samples.
EC
Amine Allouah, Achraf Bahamou, Omar Besbes
2020 A* conf
Practical Quasi-Newton Methods for Training Deep Neural Networks.
NeurIPS
Donald Goldfarb, Yi Ren, Achraf Bahamou
2020 J jnl
Practical Quasi-Newton Methods for Training Deep Neural Networks.
CoRR
Donald Goldfarb, Yi Ren, Achraf Bahamou
2020 A* conf
Stochastic Flows and Geometric Optimization on the Orthogonal Group.
ICML
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
2020 J jnl
Stochastic Flows and Geometric Optimization on the Orthogonal Group.
CoRR
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
2019 J jnl
A Dynamic Sampling Adaptive-SGD Method for Machine Learning.
CoRR
Achraf Bahamou, Donald Goldfarb