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Upcoming Events › Stochastics and Statistics Seminar Series

The MIT Statistics and Data Science Center hosts guest lecturers from around the world in this weekly seminar.

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September 2021

Representation and generalization

September 24, 2021 @ 11:00 am - 12:00 pm

Boaz Barak (Harvard University)

E18-304

Abstract:  Self-supervised learning is an increasingly popular approach for learning representations of data that can be used for downstream representation tasks. A practical advantage of self-supervised learning is that it can be used on unlabeled data. However, even when labels are available, self-supervised learning can be competitive with the more "traditional" approach of supervised learning.   In this talk we consider "self supervised + simple classifier (SSS)" algorithms, which are obtained by first learning a self-supervised classifier on data, and…

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October 2021

TBD

October 1, 2021 @ 11:00 am - 12:00 pm

Devavrat Shah (MIT)

E18-304

TBD

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TBD

October 8, 2021 @ 11:00 am - 12:00 pm

Yihong Wu (Yale University)

E18-304

TBD

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October 15, 2021 @ 11:00 am - 12:00 pm

Yuting Wei (Wharton School at UPenn )

E18-304

TBD

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October 22, 2021 @ 11:00 am - 12:00 pm

Kevin Jamieson (University of Washington)

E18-304

TBD

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October 29, 2021 @ 11:00 am - 12:00 pm

Ronen Eldan (Weizmann Institute of Science, Princeton University)

E18-304

TBD

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November 2021

TBD

November 5, 2021 @ 11:00 am - 12:00 pm

Morgane Austern (Harvard University)

E18-304

TBD

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November 12, 2021 @ 11:00 am - 12:00 pm

Cindy Rush (Columbia University)

E18-304

TBD

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November 19, 2021 @ 11:00 am - 12:00 pm

Pragya Sur (Harvard University)

E18-304

TBD

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December 2021

TBD

December 3, 2021 @ 11:00 am - 12:00 pm

Jesse Thaler (MIT)

E18-304

TBD

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