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Inherent Tradeoffs in Learning Fair Representations
Han Zhao
, Geoffrey J. Gordon
Electrical and Computer Engineering
Siebel School of Computing and Data Science
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Keyphrases
Fair Representation Learning
100%
Group-wise
66%
Protected Characteristics
66%
Statistical Parity
66%
Barycenter
66%
Tight
33%
Between-group
33%
Real-world Application
33%
Error Rate
33%
High Stakes
33%
Bayes
33%
Analytic Solution
33%
Classification Problem
33%
Oracle
33%
Machine Learning Applications
33%
Base Rates
33%
Uncertainty Principle
33%
Linear Programming
33%
Statistical Accuracy
33%
Impossibility Theorem
33%
Joint Error
33%
Machine Learning System
33%
Predicted Targets
33%
Bayes Optimal Classifier
33%
Randomized Classifier
33%
Computer Science
World Application
100%
Classification Problem
100%
Optimal Classifier
100%
Linear Program
100%
Analytics Solution
100%
Basic Paradigm
100%
Machine Learning
100%
Learning System
100%
Mathematics
Center of Gravity
100%
Error Rate
50%
Classification Problem
50%
Linear Program
50%