Ludovic Stephan
According to our database1,
Ludovic Stephan
authored at least 11 papers
between 2019 and 2023.
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Bibliography
2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation.
Proceedings of the International Conference on Machine Learning, 2023
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
2022
CoRR, 2022
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022
2021
2019
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the Conference on Learning Theory, 2019