Monday, November 6, 2023 — 9:30 AM to 5:00 PM EST

Please note: This workshop will take place in DC 1302 and online.

You are invited to join the Machine Learning Theory Workshop on Monday, November 6, 2023 in DC 1302 and online. 

This workshop will bring together researchers with expertise in mathematical foundations of machine learning. The purpose of this event is to foster connections and build a research community among learning theorists from various institutions.

The day-long seminar will include research talks by senior members of the community, provide opportunity for group discussions and include a poster session where graduate students can present their research.

Don't miss this session.

RSVP to secure your spot!

Machine Learning Theory Workshop
Time Event
9:30 to 10:15 a.m. Coffee, pastries and welcome remarks
10:15 a.m. Talk by Daniel Roy
10:45 a.m. Talk by Aukosh Jagannath
11:00 a.m. Talk by Yaoliang Yu
11:15 a.m. Break
11:30 a.m. Talk by Sivan Sabato
12:00 p.m. Talk by Ruth Urner
12:15 p.m. Talk by Shai Ben-David
12:30 p.m. Lunch break (including poster session 1:15 p.m. to 2:30 p.m.)
2:30 p.m. Talk by Murat Erdogdu
3:00 p.m. Talk by Mihai Nica
3:15 p.m. Talk by Gautam Kamath
3:30 p.m. Break
4:00 p.m. Talk by Hassan Ashtiani
4:30 p.m. Discussion of future plans

This workshop is open to all Vector Faculty Members, Postdoctoral Fellows, students, Faculty Affiliates and researchers at Vector Affiliated Universities and Institutions. Other individuals wishing to attend should contact the organizers Dr. Ruth Urner and Dr. Shai Ben-David. Any registration that does not meet this criterion will be asked to provide verification and, if unable to do so, will not be able to attend the event.

Please contact events@vectorinstitute.ai with any questions.

Location 
DC - William G. Davis Computer Research Centre
Hybrid: DC 1302 | Online workshop
200 University Avenue West

Waterloo, ON N2L 3G1
Canada
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