Previously, the Department of Statistics together with the TRIPODS Institute, held numerous activities on statistical machine learning, comprising a Special Year of Statistical ML (2019-2020).

Rebecca Willett (University of Chicago), on Neumann Networks for Inverse Problems in Imaging

Peter Bartlett (University of California, Berkeley), on Benign Overfitting

Dean Foster (Amazon Research), on Falsifiability, calibration and a bit of Reinforcement Learning

Sanjoy Dasgupta (University of California, San Diego), on A data representation from neuroscience

Jason Lee (Princeton University), on Beyond Linearization in Neural Networks

Satyen Kale (Google Research), on Logistic Regression: The Importance of Being Improper

Tutorials on Sampling and Variational Inference, featuring Tamara Broderick (MIT), Dave Blei (Columbia), Max Raginsky (UIUC), and John Paisley (Columbia)

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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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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