Michael Sucker

According to our database, Michael Sucker authored at least 4 papers between 2023 and 2025.

Collaborative distances:

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

2025

Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation.

Michael Sucker, Jalal Fadili, Peter Ochs

J. Mach. Learn. Res., 2025

A Generalization Result for Convergence in Learning-to-Optimize.

Michael Sucker, Peter Ochs

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

A Markovian Model for Learning-to-Optimize.

Michael Sucker, Peter Ochs

CoRR, 2024

2023

PAC-Bayesian Learning of Optimization Algorithms.

Michael Sucker, Peter Ochs

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023