1. From parity to preference-based notions of fairness in classification;zafar;Advances in neural information processing systems,2017
2. Equality of opportunity in supervised learning;hardt;Advances in neural information processing systems,2016
3. Three naive Bayes approaches for discrimination-free classification
4. Building Classifiers with Independency Constraints
5. Understanding the difficulty of training deep feedforward neural networks;glorot;Proc International Conference on Artificial Intelligence and Statistics (AISTATS),2010