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02/14/2020
Fast Fair Regression via Efficient Approximations of Mutual Information
Most work in algorithmic fairness to date has focused on discrete outcom...
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10/02/2019
Causal inference with Bayes rule
The concept of causality has a controversial history. The question of wh...
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06/17/2019
Replacing the do-calculus with Bayes rule
The concept of causality has a controversial history. The question of wh...
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06/05/2018
A Primer on Causal Analysis
We provide a conceptual map to navigate causal analysis problems. Focusi...
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06/13/2016
The Crossover Process: Learnability and Data Protection from Inference Attacks
It is usual to consider data protection and learnability as conflicting ...
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06/10/2016
