Julia Rubin

Safety, Robustness & Interpretability · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 8 citations into it; #815 of 2,251 by trust here, #1,119 by citations
• AI Ethics, Fairness & Society — 6 citations into it
• Artificial Intelligence — 6 citations into it; #11,841 of 35,345 by trust here, #12,761 by citations
• Sociology and Political Science — 6 citations into it
• Safety Research — 5 citations into it; #1,125 of 5,829 by trust here, #1,344 by citations

Whom Julia Rubin trusts overall

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

1. Razieh Nabi
2. Alexandra Chouldechova
3. Matt J. Kusner
4. Richard A. Berk
5. Geoff Pleiss
6. Jon M. Kleinberg
7. Niki Kilbertus
8. Ilya Shpitser
9. Manish Raghavan

Who trusts Julia Rubin overall

1. Emilio Ferrara
2. Dana Pessach
3. Ninareh Mehrabi
4. Erez Shmueli
5. Kimmo Kärkkäinen
6. Bo Li

Papers from Julia Rubin's perspective

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

1. Inherent Trade-Offs in the Fair Determination of Risk Scores
2. Fairness through awareness
3. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
4. Counterfactual Fairness (Neural Information Processing Systems)
5. Fairness in Criminal Justice Risk Assessments: The State of the Art
6. Fair Inference on Outcomes
7. Algorithmic Decision Making and the Cost of Fairness
8. Avoiding Discrimination through Causal Reasoning
9. On Fairness and Calibration
10. Equality of Opportunity in Supervised Learning

Their papers

• Fairness Definitions Explained (2018) — 1,328 citations