Rianne de Heide
About meI am a PhD candidate at CWI under supervision of Peter Grünwald. I work on problems and solutions in machine learning and statistics, with a focus on Bayesian learning, hypothesis testing and sequential learning.
In particular, I am interested in exploring the limitations of existing methods under misspecification of the model or the data collecting process, and in devising new, robust methods for these settings. Recently I became interested in pure exploration problems, which are problems in a bandit setting, dealing with the question how to design systems that efficiently explore their stochastic environment, with the goal of learning something specific about it, for example, bestarm identification. I am a board member of the European Women in Mathematics – The Netherlands, the Dutch association of women professional mathematicians. In spring 2019, I visited SequeL (Inria LilleNord Europe) on a LUF travel grant, to work with Emilie Kaufmann and Michal Valko. ResearchMy research interests include
Recent Publications
