All Events Schedule
Sep 2019
13 September
School of Social Work Building, 1255 Amsterdam Ave, Room 903
New York, NY 10027 United States
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Rebecca Willett (University of Chicago)

Title: Neumann Networks for Inverse Problems in Imaging

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27 September
School of Social Work Building, 1255 Amsterdam Ave, Room 903
New York, NY 10027 United States
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Peter Bartlett (University of California, Berkeley)

Title: Benign Overfitting

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Oct 2019
04 October
School of Social Work Building, 1255 Amsterdam Ave, Room 903
New York, NY 10027 United States
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Dean Foster (Amazon Research)

Title: Falsifiability, calibration and a bit of Reinforcement Learning

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25 October
School of Social Work Building, 1255 Amsterdam Ave, Room 903
New York, NY 10027 United States
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Sanjoy Dasgupta (University of California, San Diego)

Title: A data representation from neuroscience

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Nov 2019
08 November
School of Social Work Building, 1255 Amsterdam Ave, Room 903
New York, NY 10027 United States
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Jason Lee (Princeton University)

Title: Beyond Linearization in Neural Networks

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22 November
School of Social Work Building, 1255 Amsterdam Ave, Room 903
New York, NY 10027 United States
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Satyen Kale (Google Research, NY)

Title: Logistic Regression: The Importance of Being Improper

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Dec 2019
06 December
Online Zoom, NY United States
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Tutorials on Sampling and Variational Inference

Speakers: Max Raginsky, Tamara Broderick, Dave Blei

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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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About

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.

Registration Required

Free Registration is required for various events, as attendance is limited. See specific events for more detail.

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Upcoming Events

There are no upcoming events at this time.

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