Rianne de Heide
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Department of Mathematics |
About me
I am an assistant professor in the Department of Mathematics, at the Vrije Universiteit Amsterdam. I work on problems and solutions in machine learning and statistics. My research focuses on sequential learning, and in particular on (sequential) hypothesis testing, Bayesian learning and best-arm identification problems. Central in my work is both bringing a solid mathematical foundation to the topics I work on in different fields, as well as making the theory accessible for less mathematical audiences. I’m also interested in the mathematical and philosophical foundations of Bayesianism, machine learning, statistics and probability theory.
Veni grant
I am very happy that NWO (the Dutch Research Council) awarded my proposal “E-values for multiple testing” a Veni grant of 280.000 euros. With this I can conduct my own research for the coming 3 years. You can read about my research plans here: https://vu.nl/en/news/2023/veni-grant-for-rianne-de-heide-s-research-into-new-mathematical-theory
(Nederlands: https://vu.nl/nl/nieuws/2023/veni-beurs-voor-onderzoek-rianne-de-heide-naar-nieuwe-wiskundige-theorie)
Cor Baayen Award
I was awarded the 2023 Cor Baayen Early Career Researcher Award (news article). Since I'm on pregnancy/maternity leave at the moment, I will probably receive it and give a talk about my work in the ERCIM spring meeting in 2024.
News
Our Safe Testing paper is accepted for publication as a discussion paper at the JRSS-B. The discussion meeting of the Royal Statistical Society will take place on January 24, 2024, in London.
I was awarded a Veni grant (https://www.nwo.nl/en/news/veni-grant-for-188-scientists-from-all-fields)
I was awarded the 2023 Cor Baayen Early Career Researcher Award (news article)
I am on pregnancy/maternity leave until February 1st, 2024.
Older News
I got tenure at the VU
I received the Willem R. van Zwet Award 2021 for my PhD thesis (news article, jury report)
Research
My research interests include
Bandits, Reinforcement Learning
(Sequential) hypothesis testing, multiple testing
Group invariance in statistics
Bayesian methods
Learning theory
Imprecise probabilities in statistics
Foundations of ML, stats and probability theory
Recent Publications
Top Two Algorithms Revisited
Marc Jourdan, Rémy Degenne, Dorian Baudry, Rianne de Heide and Emilie Kaufmann
NeurIPS 2022 arxiv proc posterThe 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