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The Statistical Machine Learning Symposium

April 7 @ 8:00 am - April 8 @ 5:00 pm

The Statistical Machine Learning Symposium, organized by the Department of Statistics with support from the Data Science Institute (DSI) , is a two-day workshop that will be held April 7-8, 2023 at Columbia University, School of Social Work, 1255 Amsterdam Ave, Room 311-312. It will consist of lectures from invited speakers in academia and industry, as well as lightning talks and poster presentations from junior researchers (graduate students and postdocs from the New York area institutions).

See here for the schedule.

We invite abstract submissions by March 21, 2023. Decisions will be made around March 25, 2023. 

Organizing committee:

Daniel Hsu , Samory Kpotufe , Arian Maleki , Cindy Rush , Eren Kizildag , Belinda Tzen .

List of Invited Speakers:

Misha Belkin (UCSD)
Joan Bruna Estrach (NYU)
Matt Hoffman (Google)
Stefanie Jegelka (MIT)
Adam Klivans (UT Austin)
Zongming Ma (UPenn)
Marina Meila (UW)
Vahab Mirrokni (Google)
Nati Srebro (TTIC)
Pragya Sur (Harvard)
Mengdi Wang (Princeton)
Dana Yang (Cornell)


April 7 @ 8:00 am
April 8 @ 5:00 pm