Peter D. Grünwald
Researcher at CWI, the National Research Institute for Mathematics and Computer Science, Amsterdam, the Netherlands
- Expertise : Researcher
- Languages : english
- Website : https://safestatistics.com/
PETER D. GRUNWALD is a well-known researcher at CWI, the National Research Institute for Mathematics and Computer Science, Amsterdam, the Netherlands. He is also affiliated with EURANDOM, the EuropeanResearch Institute for the Study of Stochastic Phenomena, Eindhoven, the Netherlands.
Peter Grünwald also heads the machine learning group at CWI in Amsterdam, the Netherlands. He is a full professor of Statistical Learning at the mathematical institute at Leiden University. Currently, he is the President of the Association for Computational Learning, the organization running COLT, and the world’s prime annual conference related to machine learning theory, where he was co-program chair of COLT in 2015. Also, he chaired UAI another top ML conference in 2010/2011. Apart from publishing his work at ML venues like NIPS, COLT, and UAI, he regularly contributes to statistics journals such as the Annals of Statistics.
Peter is the author of the book The Minimum Description Length Principle, which has become the standard reference for the MDL approach to learning. In the year 2010, Peter was co-awarded the Van Dantzig prize, the highest Dutch award in the field of statistics and operations research. He then received NWO VIDI (2005), VICI (2010), and TOP-1 (2016) grants.
Grunwald’s research recently focuses on Safety and Luckiness. The basic idea of him is to make sure that inference from data is made in indeed and a safer way. Recently, most emphasis has been on testing that is safe under optional stopping/continuation; here is a general CWI project page with info on applying these ideas to meta-analysis. His recent publications/preprints in the general safety and luckiness direction.
