Gaspard Beugnot

According to our database, Gaspard Beugnot authored at least 5 papers between 2021 and 2024.

Collaborative distances:

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

2024

Optimization, Generalization and Non-convex Optimization With Kernel Methods. (Optimisation, Généralisation et optimisation non convexe avec les méthodes à noyaux).

Gaspard Beugnot

PhD thesis, 2024

2023

GloptiNets: Scalable Non-Convex Optimization with Certificates.

Gaspard Beugnot, Julien Mairal, Alessandro Rudi

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

2022

On the Benefits of Large Learning Rates for Kernel Methods.

Gaspard Beugnot, Julien Mairal, Alessandro Rudi

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Improving approximate optimal transport distances using quantization.

Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization.

Gaspard Beugnot, Julien Mairal, Alessandro Rudi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021