Gérard Ben Arous

According to our database1, Gérard Ben Arous authored at least 15 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
High-dimensional optimization for multi-spiked tensor PCA.
CoRR, 2024

High-dimensional SGD aligns with emerging outlier eigenspaces.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Online stochastic gradient descent on non-convex losses from high-dimensional inference.
J. Mach. Learn. Res., 2021

Long Random Matrices and Tensor Unfolding.
CoRR, 2021

2020
A classification for the performance of online SGD for high-dimensional inference.
CoRR, 2020

Landscape Complexity for the Empirical Risk of Generalized Linear Models.
Proceedings of Mathematical and Scientific Machine Learning, 2020

Free Energy Wells and Overlap Gap Property in Sparse PCA.
Proceedings of the Conference on Learning Theory, 2020

2018
Comparing Dynamics: Deep Neural Networks versus Glassy Systems.
Proceedings of the 35th International Conference on Machine Learning, 2018

2015
Open Problem: The landscape of the loss surfaces of multilayer networks.
Proceedings of The 28th Conference on Learning Theory, 2015

The Loss Surfaces of Multilayer Networks.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
The Loss Surface of Multilayer Networks.
CoRR, 2014

2003
A two armed bandit type problem.
Int. J. Game Theory, 2003

Algorithms for stochastic approximations of curvature flows.
Proceedings of the 2003 International Conference on Image Processing, 2003

Crystalline Stochastic Systems and Curvature Driven Flows.
Proceedings of the Mathematical Systems Theory in Biology, 2003


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