Francis Bach

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Variance Reduction

High Dimensions

Top Venues

IEEE Trans. Inf. Theory

SIAM J. Math. Data Sci.

Publications

Bertille Follain, Francis Bach
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods. CoRR (2024)
Vivien A Cabannnes, Francis Bach
The Galerkin method beats Graph-Based Approaches for Spectral Algorithms. AISTATS (2024)
Simon Martin, Francis Bach, Giulio Biroli
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions. AISTATS (2024)
Francis Bach
High-Dimensional Analysis of Double Descent for Linear Regression with Random Projections. SIAM J. Math. Data Sci. 6 (1) (2024)
Nathan Doumèche, Francis Bach, Claire Boyer, Gérard Biau
Physics-informed machine learning as a kernel method. CoRR (2024)
Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer
Physics-informed machine learning as a kernel method. COLT (2024)
Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön
Regularization properties of adversarially-trained linear regression. NeurIPS (2023)
Saeed Saremi, Rupesh Kumar Srivastava, Francis Bach
Universal Smoothed Score Functions for Generative Modeling. CoRR (2023)
Francis Bach
High-dimensional analysis of double descent for linear regression with random projections. CoRR (2023)
Francis Bach
On the relationship between multivariate splines and infinitely-wide neural networks. CoRR (2023)
Francis Bach
Information Theory With Kernel Methods. IEEE Trans. Inf. Theory 69 (2) (2023)
Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön
Regularization properties of adversarially-trained linear regression. CoRR (2023)
David Holzmüller, Francis Bach
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation. CoRR (2023)
Bertille Follain, Umut Simsekli, Francis Bach
Nonparametric Linear Feature Learning in Regression Through Regularisation. CoRR (2023)
Marc Lambert, Silvère Bonnabel, Francis Bach
The recursive variational Gaussian approximation (R-VGA). Stat. Comput. 32 (1) (2022)
Francis Bach
Information Theory with Kernel Methods. CoRR (2022)
Ziad Kobeissi, Francis Bach
On a Variance Reduction Correction of the Temporal Difference for Policy Evaluation in the Stochastic Continuous Setting. CoRR (2022)
Francis Bach
Sum-of-Squares Relaxations for Information Theory and Variational Inference. CoRR (2022)