Следене
Rianne de Heide
Rianne de Heide
Assistant professor, Mathematics department, Vrije Universiteit Amsterdam
Потвърден имейл адрес: vu.nl - Начална страница
Заглавие
Позовавания
Позовавания
Година
Safe testing
P Grünwald, R de Heide, W Koolen
arXiv preprint arXiv:1906.07801, 2019
842019
Why optional stopping can be a problem for Bayesians
R de Heide, PD Grünwald
Psychonomic Bulletin & Review 28 (3), 795-812, 2021
372021
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
292021
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
282020
Safe-Bayesian generalized linear regression
R Heide, A Kirichenko, P Grunwald, N Mehta
International Conference on Artificial Intelligence and Statistics, 2623-2633, 2020
112020
The Safe–Bayesian Lasso
R de Heide
Master's thesis, Leiden University, 2016
82016
Bandits with many optimal arms
R de Heide, J Cheshire, P Ménard, A Carpentier
Advances in Neural Information Processing Systems 34, 22457-22469, 2021
32021
Top Two Algorithms Revisited
M Jourdan, R Degenne, D Baudry, R de Heide, E Kaufmann
arXiv preprint arXiv:2206.05979, 2022
12022
Attribution-based Explanations that Provide Recourse Cannot be Robust
H Fokkema, R de Heide, T van Erven
arXiv preprint arXiv:2205.15834, 2022
12022
On the truth-convergence of open-minded Bayesianism
TF Sterkenburg, R De Heide
The Review of Symbolic Logic 15 (1), 64-100, 2022
12022
God, the beautiful and mathematics: A response
PB Smit, R Heide
HTS Theological Studies 77 (4), 1-4, 2021
12021
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
12016
E-Statistics, Group Invariance and Anytime Valid Testing
MF Pérez-Ortiz, T Lardy, R de Heide, P Grünwald
arXiv preprint arXiv:2208.07610, 2022
2022
Bayesian learning: Challenges, limitations and pragmatics
R de Heide
Leiden University, 2021
2021
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
Optional stopping with Bayes factors: possibilities and limitations
R de Heide
Generalized Bayesian Lasso
R de Heide
GBRidge: Generalized Bayesian Ridge Regression
R de Heide
GBLasso: Generalized Bayesian Lasso
R de Heide
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Статии 1–19