Machine Learning in Finance Workshop 2020

The Fu Foundation School of Engineering & Applied Science, The Data Science Institute (DSI) at Columbia University and Bloomberg are pleased to announce the 6th annual workshop on “Machine Learning in Finance.”

The workshop is being held online via the auspices of the Financial and Business Analytics Center, one of the constituent centers in the DSI, and the Center for Financial Engineering.

On Friday, August 7th, materials including research abstracts, presentations, and videos were released to all registered attendees.

Organizers

Data-Science-Institute-at-Columbia-University

Deep Learning Under Distribution Shift

Zachary C. Lipton
Carnegie Mellon University

Forecasting Firm Material Event Sequences from SEC 8-K Reports

Zhu (Drew) Zhang
Data Science Program, Iowa State University

Machine Learning Applications in Asset Management

Tugce Karatas
Columbia University

Satyan Malhotra
Flexstone Partners

Optimal, Truthful, and Private Securities Lending

Emily Diana
The Wharton School, University of Pennsylvania

Designing Equitable Risk Models for Lending and Beyond

Sharad Goel
Stanford Computational Policy Lab

Applications of Deep Generative Modeling in Finance

Achintya Gopal
Bloomberg

Modelling Asset Returns with Quant GANs

Magnus Wiese
University of Kaiserslautern

Agency MBS Prepayment Model Using Neural Networks

David Zhang
MSCI

Please contact Professor Ali Hirsa with any questions.

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