Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning
On the Class Imbalance Problem
Approximate fairness through differential dropping
Multisided Fairness for Recommendation
Probably Approximately Metric-Fair Learning
Decision Tree Classification with Differential Privacy: A Survey
Measuring discrimination in algorithmic decision making
Equality of Opportunity in Supervised Learning
Differentially private classification with decision tree ensemble
On conditional parity as a notion of non-discrimination in machine learning
The impossibility of"fairness": a generalized impossibility result for decisions
Classification cost: An empirical comparison among traditional classifier, Cost-Sensitive Classifier, and MetaCost
Fairness Without Demographics in Repeated Loss Minimization
Learning Adversarially Fair and Transferable Representations
Battling algorithmic bias: how do we ensure algorithms treat us fairly?
A training algorithm for optimal margin classifiers
Consistent Algorithms for Multiclass Classification with a Reject Option
Fairness testing: testing software for discrimination
What About Applied Fairness?
Learning Fair Representations
Statistical methods for linguistic research: Foundational Ideas - Part I
A survey on measuring indirect discrimination in machine learning
INFORMys : A Flexible Invoice-Like Form-Reader System
Text Clustering with Seeds Affinity Propagation
note - taking in the mirror of literature : theory and practice .