Fredrik Hellström

24 papers A* 4A 1B 4Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generalization Bounds: Perspectives from Information Theory and PAC-Bayes. Found. Trends Mach. Learn. Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky
2025	B	`conf`	Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift. ISIT Matteo Zecchin, Fredrik Hellström, Sangwoo Park, Shlomo Shamai Shitz, Osvaldo Simeone
2025	J	`jnl`	Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift. CoRR Matteo Zecchin, Fredrik Hellström, Sangwoo Park, Shlomo Shamai, Osvaldo Simeone
2025	A*	`conf`	Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport. ICML Jayadev Naram, Fredrik Hellström, Ziming Wang, Rebecka Jörnsten, Giuseppe Durisi
2025	J	`jnl`	Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport. CoRR Jayadev Naram, Fredrik Hellström, Ziming Wang, Rebecka Jörnsten, Giuseppe Durisi
2024	A	`conf`	Comparing Comparators in Generalization Bounds. AISTATS Fredrik Hellström, Benjamin Guedj
2024	B	`conf`	Generalization and Informativeness of Conformal Prediction. ISIT Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström
2024	J	`jnl`	Generalization and Informativeness of Conformal Prediction. CoRR Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström
2023	A*	`conf`	Adaptive Selective Sampling for Online Prediction with Experts. NeurIPS Rui M. Castro, Fredrik Hellström, Tim van Erven
2023	J	`jnl`	Adaptive Selective Sampling for Online Prediction with Experts. CoRR Rui M. Castro, Fredrik Hellström, Tim van Erven
2023	J	`jnl`	Comparing Comparators in Generalization Bounds. CoRR Fredrik Hellström, Benjamin Guedj
2023	J	`jnl`	Generalization Bounds: Perspectives from Information Theory and PAC-Bayes. CoRR Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky
2022	A*	`conf`	A New Family of Generalization Bounds Using Samplewise Evaluated CMI. NeurIPS Fredrik Hellström, Giuseppe Durisi
2022	J	`jnl`	A New Family of Generalization Bounds Using Samplewise Evaluated CMI. CoRR Fredrik Hellström, Giuseppe Durisi
2022	A*	`conf`	Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness. NeurIPS Fredrik Hellström, Giuseppe Durisi
2022	J	`jnl`	Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness. CoRR Fredrik Hellström, Giuseppe Durisi
2021	J	`jnl`	Corrections to "Generalization Bounds via Information Density and Conditional Information Density". IEEE J. Sel. Areas Inf. Theory Fredrik Hellström, Giuseppe Durisi
2021	B	`conf`	Fast-Rate Loss Bounds via Conditional Information Measures with Applications to Neural Networks. ISIT Fredrik Hellström, Giuseppe Durisi
2020	J	`jnl`	Generalization Bounds via Information Density and Conditional Information Density. CoRR Fredrik Hellström, Giuseppe Durisi
2020	J	`jnl`	Generalization Bounds via Information Density and Conditional Information Density. IEEE J. Sel. Areas Inf. Theory Fredrik Hellström, Giuseppe Durisi
2020	J	`jnl`	Generalization Error Bounds via $m$th Central Moments of the Information Density. CoRR Fredrik Hellström, Giuseppe Durisi
2020	B	`conf`	Generalization Error Bounds via mth Central Moments of the Information Density. ISIT Fredrik Hellström, Giuseppe Durisi
2020	J	`jnl`	Nonvacuous Loss Bounds with Fast Rates for Neural Networks via Conditional Information Measures. CoRR Fredrik Hellström, Giuseppe Durisi
2015	—	`conf`	Getting to know electric cars through an app. AutomotiveUI Anders Lundström, Fredrik Hellström