Yiling Chen
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it; #10,321 of 35,345 by trust here, #20,836 by citations
- Safety Research — 22 citations into it; #419 of 5,829 by trust here, #1,344 by citations
- Safety, Robustness & Interpretability — 22 citations into it
- Sociology and Political Science — 21 citations into it; #4,886 of 22,756 by trust here, #8,985 by citations
- General Decision Sciences — 15 citations into it
- Statistics and Probability — 14 citations into it
- Economics and Econometrics — 13 citations into it; #12,288 of 23,481 by trust here, #12,781 by citations
- Management Science and Operations Research — 13 citations into it; #6,095 of 11,946 by trust here, #5,092 by citations
Whom Yiling Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Ilan Yaniv
- Ben Green
- Sarah Singh
- Jon M. Kleinberg
- Anthony W. Flores
- Alexandra Chouldechova
- Himabindu Lakkaraju
- M. Stevenson
- Sendhil Mullainathan
Who trusts Yiling Chen overall
- Hussein Mozannar
- Vivian Lai
- Ben Green
- Han Liu
- Zana Buçinca
- Shira Mitchell
- Xinru Wang
- David A. Sontag
- Chenhao Tan
- Deirdre K. Mulligan
Papers from Yiling Chen's perspective
Ordered by how strongly the researchers Yiling Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Equality of Opportunity in Supervised Learning
- Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
- Fairness through awareness
- Inherent Trade-Offs in the Fair Determination of Risk Scores
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- ImageNet classification with deep convolutional neural networks
- Certifying and Removing Disparate Impact
- Towards A Rigorous Science of Interpretable Machine Learning
- Algorithm aversion: people erroneously avoid algorithms after seeing them err.
- Learning Fair Representations
Their papers
- A Short-term Intervention for Long-term Fairness in the Labor Market (2017) — 144 citations
- Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015 (2018) — 1,242 citations
- Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments (2019) — 303 citations
- The Principles and Limits of Algorithm-in-the-Loop Decision Making (2019) — 424 citations
- Welfare and Distributional Impacts of Fair Classification (2018) — 28 citations