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
(Assistant Professor at the Vrije
Universiteit Amsterdam)
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, which runs in Spring
2023.
Best regards on behalf of CWI from the program committee,
Wouter Koolen