Rianne de Heide

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Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityVerified email at cwi.nl
Wouter M. KoolenCentrum Wiskunde & Informatica; University of TwenteVerified email at cwi.nl
Emilie KaufmannCNRS & Univ. Lille (CRIStAL)Verified email at inria.fr
Pierre MénardOvGU MagdeburgVerified email at inria.fr
Michal ValkoLlama @ Meta Paris & Inria & MVA - Ex: Gemini and BYOL @ Google DeepMindVerified email at meta.com
Xuedong ShangINRIA (SequeL -> SCOOL)Verified email at inria.fr
Allard HendriksenPhD at CWI, AmsterdamVerified email at cwi.nl
Marc JourdanINRIAVerified email at inria.fr
Rémy DegenneInria LilleVerified email at inria.fr
Dorian BaudryENSAE, IP ParisVerified email at ensae.fr
Nishant A. MehtaAssistant Professor, University of VictoriaVerified email at uvic.ca
Alisa KirichenkoUniversity of WarwickVerified email at warwick.ac.uk
James CheshireTelecom ParisVerified email at telecom-paris.fr
Muriel F. Pérez-OrtizEindhoven University of Technology (TU/e)Verified email at tue.nl
Hidde FokkemaPhD student, University of AmsterdamVerified email at uva.nl
Tim van ErvenAssociate professor at the University of Amsterdam, the NetherlandsVerified email at uva.nl
Peter-Ben SmitVrije Universiteit AmsterdamVerified email at vu.nl
Tom F. SterkenburgMunich Center for Mathematical PhilosophyVerified email at lmu.de
Thomas AugustinProfessor, Department of Statistics, University of Munich (LMU)Verified email at stat.uni-muenchen.de
Julian RodemannDepartment of Statistics, LMU MunichVerified email at stat.uni-muenchen.de

Rianne de Heide

Assistant professor, Mathematics department, Vrije Universiteit Amsterdam

Verified email at utwente.nl - Homepage

Machine Learning Statistics Hypothesis Testing Sequential Learning Bandits


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Safe testing P Grünwald, R de Heide, W Koolen arXiv preprint arXiv:1906.07801, 2019	182	2019
Fixed-confidence guarantees for Bayesian best-arm identification X Shang, R Heide, P Menard, E Kaufmann, M Valko International Conference on Artificial Intelligence and Statistics, 1823-1832, 2020	65	2020
Why optional stopping can be a problem for Bayesians R de Heide, PD Grünwald Psychonomic Bulletin & Review 28 (3), 795-812, 2021	58	2021
Optional stopping with Bayes factors: a categorization and extension of folklore results, with an application to invariant situations A Hendriksen, R de Heide, P Grünwald Bayesian Analysis 1 (1), 1-29, 2021	41	2021
Top two algorithms revisited M Jourdan, R Degenne, D Baudry, R de Heide, E Kaufmann Advances in Neural Information Processing Systems 35, 26791-26803, 2022	35	2022
Safe-Bayesian generalized linear regression R Heide, A Kirichenko, P Grunwald, N Mehta International Conference on Artificial Intelligence and Statistics, 2623-2633, 2020	30	2020
Bandits with many optimal arms R de Heide, J Cheshire, P Ménard, A Carpentier Advances in Neural Information Processing Systems 34, 22457-22469, 2021	20	2021
E-Statistics, Group Invariance and Anytime Valid Testing MF Pérez-Ortiz, T Lardy, R de Heide, P Grünwald arXiv preprint arXiv:2208.07610, 2022	16	2022
Attribution-based Explanations that Provide Recourse Cannot be Robust H Fokkema, R de Heide, T van Erven Journal of Machine Learning Research 24 (360), 1-37, 2023	13	2023
The Safe–Bayesian Lasso R de Heide Master's thesis, Leiden University, 2016	10	2016
On the truth-convergence of open-minded Bayesianism TF Sterkenburg, R De Heide The Review of Symbolic Logic 15 (1), 64-100, 2022	2	2022
God, the beautiful and mathematics: A response PB Smit, R Heide HTS Theological Studies 77 (4), 1-4, 2021	2	2021
Bayesian learning: Challenges, limitations and pragmatics R de Heide Leiden University, 2021	1	2021
R-Package SafeBayes R De Heide, G de los Campos, PP Rodriguez, B Wheeler, MR de Heide Freely available at CRAN Repository 1072, 1099, 2016	1	2016
Authors’ Reply to the Discussion of ‘Safe Testing’ P Grünwald, R de Heide, W Koolen Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024		2024
Interpreting Generalized Bayesian Inference by Generalized Bayesian Inference J Rodemann, T Augustin, R de Heide Interpreting 6, 22, 2023		2023
Invited discussion to the paper" Using Stacking to Average Bayesian Predictive Distributions (with Discussion)" by Yao, Vehtari, Simpson and Gelman PD Grünwald, R de Heide Bayesian Analysis 13 (3), 957-961, 2018		2018
Invited Discussion P Grünwald, R de Heide
Optional stopping with Bayes factors: possibilities and limitations R de Heide
Generalized Bayesian Lasso R de Heide

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