| Generalization bounds via information density and conditional information density F Hellström, G Durisi IEEE Journal on Selected Areas in Information Theory 1 (3), 824-839, 2020 | 72 | 2020 |
| Generalization bounds: Perspectives from information theory and PAC-Bayes F Hellström, G Durisi, B Guedj, M Raginsky Foundations and Trends® in Machine Learning 18 (1), 1-223, 2025 | 34 | 2025 |
| A new family of generalization bounds using samplewise evaluated CMI F Hellström, G Durisi Advances in Neural Information Processing Systems 35, 10108-10121, 2022 | 25 | 2022 |
| Fast-rate loss bounds via conditional information measures with applications to neural networks F Hellström, G Durisi 2021 IEEE International Symposium on Information Theory (ISIT), 952-957, 2021 | 20 | 2021 |
| New constraints on inelastic dark matter from IceCube R Catena, F Hellström Journal of Cosmology and Astroparticle Physics 2018 (10), 039, 2018 | 17 | 2018 |
| Evaluated CMI bounds for meta learning: Tightness and expressiveness F Hellström, G Durisi Advances in Neural Information Processing Systems 35, 20648-20660, 2022 | 14 | 2022 |
| Generalization error bounds via mth central moments of the information density F Hellström, G Durisi 2020 IEEE International Symposium on Information Theory (ISIT), 2741-2746, 2020 | 9 | 2020 |
| Generalization and informativeness of conformal prediction M Zecchin, S Park, O Simeone, F Hellström 2024 IEEE International Symposium on Information Theory (ISIT), 244-249, 2024 | 8 | 2024 |
| Comparing comparators in generalization bounds F Hellström, B Guedj International Conference on Artificial Intelligence and Statistics, 73-81, 2024 | 5 | 2024 |
| Corrections to “Generalization Bounds via Information Density and Conditional Information Density”[Nov 20 824-839] F Hellström, G Durisi IEEE Journal on Selected Areas in Information Theory 2 (3), 1072-1073, 2021 | 4 | 2021 |
| Nonvacuous loss bounds with fast rates for neural networks via conditional information measures F Hellström, G Durisi | 3 | 2021 |
| Data-dependent PAC-Bayesian bounds in the random-subset setting with applications to neural networks F Hellström, G Durisi Workshop on Inf.-Theoretic Methods Rigorous, Responsible, and Reliable Mach …, 2021 | 3 | 2021 |
| Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift M Zecchin, F Hellström, S Park, S Shamai, O Simeone arXiv preprint arXiv:2501.11413, 2025 | | 2025 |
| Adaptive Selective Sampling for Online Prediction with Experts R Castro, F Hellström, T van Erven Advances in Neural Information Processing Systems 36, 2023 | | 2023 |
| Information-Theoretic Generalization Bounds: Tightness and Expressiveness F Hellström PQDT-Global, 2022 | | 2022 |
| Guaranteeing Generalization Via Measures of Information F Hellström PQDT-Global, 2020 | | 2020 |
Giuseppe DurisiChalmers University of Technologyยืนยันอีเมลแล้วที่ chalmers.se