Hoda Heidari
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 64 citations into it
- Safety, Robustness & Interpretability — 40 citations into it; #1,297 of 2,251 by trust here, #705 by citations
- AI Ethics, Fairness & Society — 36 citations into it; #408 of 494 by trust here, #117 by citations
- Safety Research — 36 citations into it; #2,715 of 5,829 by trust here, #977 by citations
- Sociology and Political Science — 32 citations into it; #10,078 of 22,756 by trust here, #2,752 by citations
- Statistics and Probability — 20 citations into it
Whom Hoda Heidari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard A. Berk
- Muhammad Bilal Zafar
- Anthony B. Atkinson
- Toon Calders
- Moritz Hardt
- Alexandra Chouldechova
- Faisal Kamiran
- Trevor J. Hastie
- Toshihiro Kamishima
- Radford M. Neal
Who trusts Hoda Heidari overall
- Dana Pessach
- Luca Oneto
- Simon Caton
- Silvia Chiappa
- Erez Shmueli
- Aditya Grover
- Christian Haas
- Sam Corbett-Davies
- Kimmo Kärkkäinen
- Sahil Verma
Papers from Hoda Heidari's perspective
Ordered by how strongly the researchers Hoda Heidari trusts endorse each paper. Same corpus, a different order for every researcher.
- Fairness through awareness
- Equality of Opportunity in Supervised Learning
- Certifying and Removing Disparate Impact
- Fairness-Aware Classifier with Prejudice Remover Regularizer
- Discrimination-aware data mining
- Big Data's Disparate Impact
- Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
- Learning Fair Representations
- A multidisciplinary survey on discrimination analysis
- Fairness-aware Learning through Regularization Approach
Their papers
- Fairness in Criminal Justice Risk Assessments: The State of the Art (2017) — 1,137 citations
- A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices (2018) — 300 citations
- Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making (2018) — 147 citations
- A Convex Framework for Fair Regression (2017) — 379 citations