Fredrik Hellström

According to our database, Fredrik Hellström authored at least 13 papers between 2015 and 2024.

Collaborative distances:

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

2024

Generalization and Informativeness of Conformal Prediction.

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström

Proceedings of the IEEE International Symposium on Information Theory, 2024

Comparing Comparators in Generalization Bounds.

Fredrik Hellström, Benjamin Guedj

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Generalization Bounds: Perspectives from Information Theory and PAC-Bayes.

Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky

CoRR, 2023

Adaptive Selective Sampling for Online Prediction with Experts.

Rui M. Castro, Fredrik Hellström, Tim van Erven

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

2022

Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness.

Fredrik Hellström, Giuseppe Durisi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A New Family of Generalization Bounds Using Samplewise Evaluated CMI.

Fredrik Hellström, Giuseppe Durisi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Corrections to "Generalization Bounds via Information Density and Conditional Information Density".

Fredrik Hellström, Giuseppe Durisi

IEEE J. Sel. Areas Inf. Theory, 2021

Fast-Rate Loss Bounds via Conditional Information Measures with Applications to Neural Networks.

Fredrik Hellström, Giuseppe Durisi

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Generalization Bounds via Information Density and Conditional Information Density.

Fredrik Hellström, Giuseppe Durisi

IEEE J. Sel. Areas Inf. Theory, 2020

Nonvacuous Loss Bounds with Fast Rates for Neural Networks via Conditional Information Measures.

Fredrik Hellström, Giuseppe Durisi

CoRR, 2020

Generalization Error Bounds via $m$th Central Moments of the Information Density.

Fredrik Hellström, Giuseppe Durisi

CoRR, 2020

Generalization Error Bounds via mth Central Moments of the Information Density.

Fredrik Hellström, Giuseppe Durisi

Proceedings of the IEEE International Symposium on Information Theory, 2020

2015

Getting to know electric cars through an app.

Anders Lundström, Fredrik Hellström

Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2015