Francis Bach

According to our database, Francis Bach authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

2024

High-Dimensional Analysis of Double Descent for Linear Regression with Random Projections.

Francis Bach

SIAM J. Math. Data Sci., March, 2024

Physics-informed machine learning as a kernel method.

Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions.

Simon Martin, Francis Bach, Giulio Biroli

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

The Galerkin method beats Graph-Based Approaches for Spectral Algorithms.

Vivien A Cabannnes, Francis Bach

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Nonparametric Linear Feature Learning in Regression Through Regularisation.

Bertille Follain, Umut Simsekli, Francis Bach

CoRR, 2023

Regularization properties of adversarially-trained linear regression.

Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023