| Causal inference methods for combining randomized trials and observational studies: a review B Colnet, I Mayer, G Chen, A Dieng, R Li, G Varoquaux, JP Vert, J Josse, ... Statistical science 39 (1), 165-191, 2024 | 151 | 2024 |
| Diagnosing failures of fairness transfer across distribution shift in real-world medical settings J Schrouff, N Harris, S Koyejo, IM Alabdulmohsin, E Schnider, ... Advances in Neural Information Processing Systems 35, 19304-19318, 2022 | 60 | 2022 |
| Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? J Schrouff, N Harris, O Koyejo, I Alabdulmohsin, E Schnider, ... arXiv preprint arXiv:2202.01034, 2022 | 44 | 2022 |
| Interpretable Almost-Exact Matching for Causal Inference A Dieng, Y Liu, S Roy, C Rudin, A Volfovsky The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 29 | 2019 |
| A toolbox for surfacing health equity harms and biases in large language models SR Pfohl, H Cole-Lewis, R Sayres, D Neal, M Asiedu, A Dieng, ... Nature Medicine, 1-11, 2024 | 22 | 2024 |
| Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa MN Asiedu*, A Dieng*, A Oppong, M Nagawa, S Koyejo, K Heller arXiv preprint arXiv:2304.02190, 2023 | 7 | 2023 |
| The case for globalizing fairness: a mixed methods study on colonialism, AI, and health in Africa MN Asiedu*, A Dieng*, I Haykel, N Rostamzadeh, S Pfohl, C Nagpal, ... Proceedings of the 4th ACM Conference on Equity and Access in Algorithms …, 2024 | 3 | 2024 |
| Almost-Exact Matching with Replacement for Causal Inference A Dieng, Y Liu, S Roy, C Rudin, A Volfovsky Proceedings of the 22nd International Conference on Artificial Intelligence …, 2018 | 2 | 2018 |
| Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases M Asiedu, N Tomasev, C Ghate, T Tiyasirichokchai, A Dieng, O Akande, ... arXiv preprint arXiv:2409.09201, 2024 | | 2024 |
| Nteasee: A mixed methods study of expert and general population perspectives on deploying AI for health in African countries M Nyamewaa Asiedu*, I Haykel*, A Dieng*, K Kauer, T Ahmed, F Ofori, ... arXiv e-prints, arXiv: 2409.12197, 2024 | | 2024 |
| A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models SR Pfohl, H Cole-Lewis, R Sayres, D Neal, M Asiedu, A Dieng, ... arXiv preprint arXiv:2403.12025, 2024 | | 2024 |
| Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022 A Dieng, M Rateike, G Farnadi, F Fioretto, M Kusner, J Schrouff Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, 1-6, 2023 | | 2023 |
| Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021 J Schrouff, A Dieng, M Rateike, K Kwegyir-Aggrey, G Farnadi Algorithmic Fairness through the Lens of Causality and Robustness workshop, 1-5, 2022 | | 2022 |
| Fairness properties do not transfer: do we have viable solutions for real-world applications? J Schrouff, N Harris, S Koyejo, IMI Alabdulmohsin, E Schnider, ... | | 2022 |
