Bilal Qureshi

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• AI Ethics, Fairness & Society — 11 citations into it; #323 of 494 by trust here, #414 by citations
• Safety Research — 11 citations into it
• Statistics and Probability — 10 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Sociology and Political Science — 6 citations into it

Whom Bilal Qureshi trusts overall

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

1. Toon Calders
2. Indrė Žliobaitė
3. Greg Ridgeway
4. Salvatore Ruggieri
5. Peter C. Austin
6. Lu Zhang
7. Paul R. Rosenbaum
8. Marco Caliendo
9. Donald B. Rubin
10. Binh Luong Thanh

Who trusts Bilal Qureshi overall

1. Silvia Chiappa
2. Lu Zhang
3. Niki Kilbertus
4. Dino Pedreschi
5. Xintao Wu

Papers from Bilal Qureshi's perspective

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

1. A multidisciplinary survey on discrimination analysis
2. The central role of the propensity score in observational studies for causal effects
3. Three naive Bayes approaches for discrimination-free classification
4. Causality : Models , Reasoning , and Inference
5. Data mining for discrimination discovery
6. Big Data's Disparate Impact
7. Counterfactual Fairness (Neural Information Processing Systems)
8. k-NN as an implementation of situation testing for discrimination discovery and prevention
9. Exposing the probabilistic causal structure of discrimination
10. Situation Testing-Based Discrimination Discovery: A Causal Inference Approach

Their papers

• Causal Discrimination Discovery Through Propensity Score Analysis (2016) — 19 citations