Borja Rodríguez Gálvez

PhD thesis, 2024

More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

An Information-Theoretic Approach to Generalization Theory.

[BibT_eX]

[DOI]

CoRR, 2024

On Information Theoretic Fairness: Compressed Representations With Perfect Demographic Parity.

[BibT_eX]

[DOI]

Amirreza Zamani

CoRR, 2024

A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry.

[BibT_eX]

[DOI]

Martin Lindström

CoRR, 2024

Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems.

[BibT_eX]

[DOI]

Amaury Gouverneur

Tobias J. Oechtering

CoRR, 2024

A Note on Generalization Bounds for Losses with Finite Moments.

[BibT_eX]

[DOI]

Omar Rivasplata

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards.

[BibT_eX]

[DOI]

Amaury Gouverneur

Tobias J. Oechtering

Proceedings of the IEEE International Symposium on Information Theory, 2023

The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization.

[BibT_eX]

[DOI]

Mahdi Haghifam

Gintare Karolina Dziugaite

Daniel M. Roy

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

An Information-Theoretic Analysis of Bayesian Reinforcement Learning.

[BibT_eX]

[DOI]

Amaury Gouverneur

Tobias J. Oechtering

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

Upper Bounds on the Generalization Error of Private Algorithms for Discrete Data.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Enforcing fairness in private federated learning via the modified method of differential multipliers.

[BibT_eX]

[DOI]

Filip Granqvist

Rogier C. van Dalen

Matt Seigel

CoRR, 2021

Tighter Expected Generalization Error Bounds via Wasserstein Distance.

[BibT_eX]

[DOI]

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

A Variational Approach to Privacy and Fairness.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2021

2020

The Convex Information Bottleneck Lagrangian.

[BibT_eX]

[DOI]

Entropy, 2020

Upper Bounds on the Generalization Error of Private Algorithms.

[BibT_eX]

[DOI]

CoRR, 2020

On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm.

[BibT_eX]

[DOI]