Benjamin Dupuis

According to our database, Benjamin Dupuis authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms.

Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli

CoRR, 2024

Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets.

Benjamin Dupuis, Paul Viallard, George Deligiannidis, Umut Simsekli

CoRR, 2024

Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation.

Benjamin Dupuis, Umut Simsekli

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD.

Benjamin Dupuis, Paul Viallard

CoRR, 2023

Generalization Bounds with Data-dependent Fractal Dimensions.

Benjamin Dupuis, George Deligiannidis, Umut Simsekli

CoRR, 2023

Generalization Bounds using Data-Dependent Fractal Dimensions.

Benjamin Dupuis, George Deligiannidis, Umut Simsekli

Proceedings of the International Conference on Machine Learning, 2023

2021

DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel.

Benjamin Dupuis, Arthur Jacot

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