Publications
A. Coston, N. Guha, L. Lu, D. Ouyang, A. Chouldechova, and D. Ho. "Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy."
ACM Conference on Fairness, Accountability, and Transparency, 2021.
[Paper] [ArXiv] [Talk]
A. Coston, A. Rambachan, and A. Chouldechova. "Characterizing Fairness over the Set of Good Models Under Selective Labels."
International Conference on Machine Learning, 2021 (to appear).
[ArXiv]
A. Coston, E. H. Kennedy, and A. Chouldechova. "Counterfactual Predictions under Runtime Confounding."
Neural Information Processing Systems, 2020.
[Paper] [ArXiv] [Blog]
A. Coston, A. Mishler, E. H. Kennedy, and A. Chouldechova. "Counterfactual Risk Assessments, Evaluation, and Fairness." ACM FAT* 2020.
[Paper] [ArXiv] [Talk]
H. Zhao,
A. Coston, T. Adel, & G. J. Gordon, (2019). "Conditional learning of fair representations." ICLR 2020.
[Paper] [ArXiv] [Talk]
L. Li, R. Zuo,
A. Coston, J. C. Weiss, G. H. Chen. "Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical
Features Relate."
International Conference on
Artificial Intelligence in Medicine, 2020.
[Paper] [ArXiv]
A. Coston, K. N. Ramamurthy, D. Wei, K. R. Varshney, S. Speakman, Z. Mustahsan, S. Chakraborty. "Fair Transfer Learning with Missing Protected Attributes,"
AAAI/ACM Conference on Artificial Intellligence, Ethics, and Society (AIES), 2019.
[Paper]
Visualizations
Opioid Epidemic
In 2017, drug overdoses claimed more lives than car accidents. The below maps show opioid hotspots across the United States at various granularities. We used a similarity metric of death rate trajectories derived from Fisher's exact test to perform hierarchical clustering.
County Map
100 clusters
10 clusters