Fredrik Hellström

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Topics

Convex Combinations

Generalization Bounds

Statistical Learning Theory

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström
Generalization and Informativeness of Conformal Prediction. CoRR (2024)
Fredrik Hellström, Benjamin Guedj
Comparing Comparators in Generalization Bounds. AISTATS (2024)
Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes. CoRR (2023)
Fredrik Hellström, Benjamin Guedj
Comparing Comparators in Generalization Bounds. CoRR (2023)
Rui M. Castro, Fredrik Hellström, Tim van Erven
Adaptive Selective Sampling for Online Prediction with Experts. CoRR (2023)
Rui M. Castro, Fredrik Hellström, Tim van Erven
Adaptive Selective Sampling for Online Prediction with Experts. NeurIPS (2023)
Fredrik Hellström, Giuseppe Durisi
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness. NeurIPS (2022)
Fredrik Hellström, Giuseppe Durisi
A New Family of Generalization Bounds Using Samplewise Evaluated CMI. CoRR (2022)
Fredrik Hellström, Giuseppe Durisi
A New Family of Generalization Bounds Using Samplewise Evaluated CMI. NeurIPS (2022)
Fredrik Hellström, Giuseppe Durisi
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness. CoRR (2022)
Fredrik Hellström, Giuseppe Durisi
Fast-Rate Loss Bounds via Conditional Information Measures with Applications to Neural Networks. ISIT (2021)
Fredrik Hellström, Giuseppe Durisi
Corrections to "Generalization Bounds via Information Density and Conditional Information Density". IEEE J. Sel. Areas Inf. Theory 2 (3) (2021)
Fredrik Hellström, Giuseppe Durisi
Generalization Error Bounds via mth Central Moments of the Information Density. ISIT (2020)
Fredrik Hellström, Giuseppe Durisi
Nonvacuous Loss Bounds with Fast Rates for Neural Networks via Conditional Information Measures. CoRR (2020)
Fredrik Hellström, Giuseppe Durisi
Generalization Bounds via Information Density and Conditional Information Density. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Fredrik Hellström, Giuseppe Durisi
Generalization Bounds via Information Density and Conditional Information Density. CoRR (2020)
Fredrik Hellström, Giuseppe Durisi
Generalization Error Bounds via $m$th Central Moments of the Information Density. CoRR (2020)
Anders Lundström, Fredrik Hellström
Getting to know electric cars through an app. AutomotiveUI (2015)