Columbia Year of Statistical Machine Learning

The Columbia Year of Statistical Machine Learning aims to bring together leading researchers whose work is at the forefront of theoretical, methodological, and applied statistical machine learning.

The Columbia Year of Statistical Machine Learning will consist of bi-weekly seminars, workshops, and tutorial-style lectures, with invited speakers.

The special year is sponsored by both the Department of Statistics and TRIPODS Institute at Columbia University.

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Events Schedule

Jan 2020
14 January
CS Auditorium (CSB 451), Mudd Building, 500 West 120th St
New York, NY United States
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Statistical Machine Learning Bootcamp

Lecturers: Alex Andoni, Arian Maleki, Jarek Blasiok, Espen Bernton, Bodhi Sen

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Mar 2020
27 March
School of Social Work, 3rd Floor, 1255 Amsterdam Ave
New York, NY United States
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Workshop on Statistical ML

2-day event with 12 invited speakers + Posters

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May 2020
02 May

Tutorials on Reinforcement Learning

Speakers: Shipra Agrawal, Sham Kakade

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