———————————————————————————
Hi all,
We are pleased to invite you to the
6th Learning Theory Alliance
Mentorship workshop, to be held
on June 4-5, 2024.
The workshop is
free and fully virtual.
The workshop is intended for
upper-level undergraduate and
all-level graduate students as well as
postdoctoral researchers who are
interested in theoretical computer
science and machine learning. No prior
research experience in the field is
expected, and some sessions may be of
interest to researchers in adjacent
fields. We have several planned events
including:
Our lineup includes Shuchi Chawla
(UT), Adam Groce (Reed College), Zhiyi
Huang (University of Hong Kong), Varun
Kanade (Oxford), Po-Ling Loh
(University of Cambridge), Audra
McMillan (Apple), Ankur Moitra (MIT),
Devi Parikh (Georgia Tech), Aaditya
Ramdas (CMU), and Steven Wu (CMU).
A short application form
is required to participate with an
application deadline of
Tuesday, May 28, 2024.
Students with backgrounds that are
underrepresented or underserved in
related fields are especially
encouraged to apply. We are trying our
best to accommodate all time zones.
More information (including the
schedule) can be found on the event’s
website:
https://let-all.com/spring24.html.
This workshop is part of our broader
community-building initiative called
the Learning Theory Alliance. Check
out
http://let-all.com/
for more details.
To connect with fellow participants
and stay in touch for more
announcements, we encourage everyone
to
join the LeT-All slack.
Best,
Ciara Pike-Burke, Vatsal Sharan,
Ellen Vitercik, and Lydia Zakynthinou
LeT-All’s Mentoring Workshop
Committee