Naman Goel

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #26,999 of 35,345 by trust here, #28,481 by citations
• Safety, Robustness & Interpretability — 11 citations into it
• AI Ethics, Fairness & Society — 9 citations into it; #366 of 494 by trust here, #432 by citations
• Safety Research — 8 citations into it; #3,869 of 5,829 by trust here, #4,390 by citations

Whom Naman Goel trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Frank P. Kelly
2. Toon Calders
3. Muhammad Bilal Zafar
4. Faisal Kamiran
5. Isabel Valera
6. Moritz Hardt
7. Manuel Gomez-Rodriguez
8. Krishna P. Gummadi
9. Sicco Verwer
10. Matthew Joseph

Who trusts Naman Goel overall

1. Lingxiao Huang
2. Ninareh Mehrabi
3. Nisheeth K. Vishnoi
4. Richard J. Chen
5. Fred Morstatter

Papers from Naman Goel's perspective

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

1. Fairness through awareness
2. Fairness-Aware Classifier with Prejudice Remover Regularizer
3. Three naive Bayes approaches for discrimination-free classification
4. Equality of Opportunity in Supervised Learning
5. Big Data's Disparate Impact
6. Certifying and Removing Disparate Impact
7. Classifying without discriminating
8. Fairness in Learning: Classic and Contextual Bandits
9. Discrimination-aware data mining
10. Data preprocessing techniques for classification without discrimination

Their papers

• Non-Discriminatory Machine Learning through Convex Fairness Criteria (2018) — 103 citations