Dear researchers,
Centrum Wiskunde & Informatica (CWI) kindly invites you to the fifth Seminar++ meeting on Machine Learning Theory, taking place on Wednesday May 10 from 15:00 - 17:00. These Seminar++ meetings consist of a one-hour lecture building up to an open problem, followed by an hour of brainstorming time. The meeting is intended for interested researchers including PhD students. These meetings are freely accessible without registration. Cookies, coffee and tea will be provided in the half-time break.
The meeting of 10 May will be hosted by:
Rianne de Heide https://riannedeheide.github.io/ (Assistant Professor at the Vrije Universiteit Amsterdam https://vu.nl/)
*Multiple testing with e-values: overview and open problems*
Abstract: Researchers in genomics and neuroimaging often perform hundreds of thousands of hypothesis tests simultaneously. The scale of these multiple hypothesis testing problems is enormous, and with extreme dimensionality comes extreme risk for false positives. The field of multiple testing addresses this problem in various ways. Recently, the new theory of hypothesis testing with e-values has been brought to the field of multiple testing. In this talk I will give an overview of the most important frameworks in multiple testing and recent developments in multiple testing with e-values. Finally, I will open the discussion for open problems in this area, focusing on FDP estimation and confidence with e-values. This will create a framework for fully interactive multiple testing.
The event takes place in room L016 in the CWI building, Science Park 123, Amsterdam.
The Seminar++ Meetings are part of the Machine Learning Theory Semester Programme https://www.cwi.nl/en/events/cwi-research-semester-programs/research-programmes-in-2023/overview-research-semester-programme-machine-learning-theory/, which runs in Spring 2023.
Best regards on behalf of CWI from the program committee,
Wouter Koolen