Improving Causal Inference and Attribute Prediction Through Visual Information

Causal inference is an active area of research in computer science and statistics as it is used to understand casual conclusions that traditional statistics cannot. A naive way to conclude the cause of an outcome is by using correlations, but this is not always accurate because there may be other va...

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Bibliographic Details
Main Author: Chau, Eileen
Other Authors: Cafarella, Michael
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/156837