Gihyuk Ko

2017

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Gihyuk Ko's perspective

Ordered by how strongly the researchers Gihyuk Ko trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fairness-Aware Classifier with Prejudice Remover Regularizer
2. Certifying and Removing Disparate Impact
3. Learning Fair Representations
4. Fairness-aware Learning through Regularization Approach
5. Fairness through awareness
6. Discrimination in online ad delivery
7. k-NN as an implementation of situation testing for discrimination discovery and prevention
8. Three naive Bayes approaches for discrimination-free classification
9. Causality : Models , Reasoning , and Inference
10. Big Data's Disparate Impact

Their papers

• Proxy Non-Discrimination in Data-Driven Systems (2017) — 59 citations