Research

Citations
Like many Dutch names, my surname consists of two words: 'De Heide'. The article 'De' is capitalised, except when directly preceded by a given name or initials. Although 'De' always precedes 'Heide', in an alphabetical list, my name should be listed according to 'Heide' only. Citing a paper of mine should thus look like 'De Heide (2020)'.

Publications

• E-statistics, group invariance and any time valid testing
  Muriel Felipe Pérez-Ortiz, Tyron Lardy, Rianne de Heide and Peter Grünwald
  The Annals of Statistics, 52(4), pp.1410-32    PDF arxiv proc
  

• Safe Testing
  Peter Grünwald, Rianne de Heide and Wouter Koolen
  Journal of the Royal Statitical Society Series B: Statistical Methodology. Advance publication, March 7, 2024. doi.org/10.1093/jrsssb/qkae011    arxiv proc
  The discussion meeting took place on January 24, 2024 (video).
  
  Authors’ Reply to the Discussion of ‘Safe Testing’
  Peter Grünwald, Rianne de Heide and Wouter Koolen
  Journal of the Royal Statistical Society Series B: Statistical Methodology. July 16, 2024. doi:10.1093/jrsssb/qkae069    proc

• Attribution-based Explanations that Provide Recourse Cannot be Robust
  Hidde Fokkema, Rianne de Heide and Tim van Erven
  Journal of Machine Learning Research, 24(360), pp.1-37, 2023.   arxiv proc

• Top Two Algorithms Revisited
  Marc Jourdan, Rémy Degenne, Dorian Baudry, Rianne de Heide and Emilie Kaufmann
  Advances in Neural Information Processing Systems 35 (2022): 26791-26803    arxiv proc poster

• The truth-convergence of open-minded Bayesianism
  Tom F. Sterkenburg and Rianne de Heide
  The Review of Symbolic Logic 15(1):64-100, 2022, doi:10.1017/S1755020321000022    philsci archive   proc
  Accepted to the Formal Epistemology Workshop 2019, and the biennial conference of the European Philosophy of Science Association.

• Bandits with many optimal arms
  Rianne de Heide, James Cheshire, Pierre Ménard and Alexandra Carpentier
  Advances in Neural Information Processing Systems 34 (2021): 22457-22469    arxiv proc poster

• God, the beautiful and mathematics: a response
  Peter-Ben Smit and Rianne de Heide
  HTS Teologiese Studies / Theological Studies 2021, Vol 77, No 4, doi.org/10.4102/hts.v77i4.6208    proc

• Optional Stopping with Bayes Factors: A Categorization and Extension of Folklore Results, with an Application to Invariant Situations
  Allard Hendriksen, Rianne de Heide and Peter Grünwald
  Bayesian Analysis 16(3):961–989, 2021, doi:10.1214/20-BA1234.    arxiv   proc

• Why optional stopping can be a problem for Bayesians
  Rianne de Heide and Peter Grünwald
  Psychonomic Bulletin & Review 28(3):795-812, 2021, doi:10.3758/s13423-020-01803-x    proc
  Extended technical report: arxiv 1708.08278

• Fixed-Confidence Guarantees for Bayesian Best-Arm Identification
  Xuedong Shang, Rianne de Heide, Emilie Kaufmann, Pierre Ménard and Michal Valko
  AISTATS 2020, PMLR 108:1823-1832.    arxiv   proc   talk

• Safe-Bayesian Generalized Linear Regression
  Rianne de Heide, Alisa Kirichenko, Nishant Mehta and Peter Grünwald
  AISTATS 2020, PMLR 108:2623-2633.    arxiv   proc   code   talk

• Invited discussion to the paper Using Stacking to Average Bayesian Predictive Distributions by Yao, Vehtari, Simpson and Gelman
  Peter Grünwald and Rianne de Heide
  Bayesian Analysis 13 (2018), no. 3, 917-1003.    proc
  

Work in process

• Authorship verification of the Deutero-Pauline letters through deep learning
  Evy Beijen and Rianne de Heide
  Submitted

Other

• Bayesian Learning: Challenges, Limitations and Pragmatics (PhD Dissertation)
  Rianne de Heide, 2020    url

• The Safe-Bayesian Lasso (MSc Thesis)
  Rianne de Heide, 2016    url poster

• Interpreting Generalized Bayesian Inference by Generalized Bayesian Inference
  Julian Rodemann, Thomas Augustin and Rianne de Heide
  ISIPTA 2023    poster