| Measuring and reducing llm hallucination without gold-standard answers via expertise-weighting J Wei, Y Yao, JF Ton, H Guo, A Estornell, Y Liu arXiv preprint arXiv:2402.10412, 2024 | 15 | 2024 |
| Incentivizing truthfulness through audits in strategic classification A Estornell, S Das, Y Vorobeychik Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5347-5354, 2021 | 12 | 2021 |
| Deception through half-truths A Estornell, S Das, Y Vorobeychik Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10110 …, 2020 | 9 | 2020 |
| Unfairness despite awareness: group-fair classification with strategic agents A Estornell, S Das, Y Liu, Y Vorobeychik arXiv preprint arXiv:2112.02746, 2021 | 8 | 2021 |
| Manipulating elections by changing voter perceptions J Wu, A Estornell, L Kong, Y Vorobeychik arXiv preprint arXiv:2205.00102, 2022 | 7 | 2022 |
| Group-fair classification with strategic agents A Estornell, S Das, Y Liu, Y Vorobeychik Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 6 | 2023 |
| Incentivizing recourse through auditing in strategic classification A Estornell, Y Chen, S Das, Y Liu, Y Vorobeychik IJCAI, 2023 | 6 | 2023 |
| Election control by manipulating issue significance A Estornell, S Das, E Elkind, Y Vorobeychik Conference on Uncertainty in Artificial Intelligence, 340-349, 2020 | 5 | 2020 |
| Location Spoofing Attacks on Autonomous Fleets J Yang, A Estornell, Y Vorobeychik Symposium on Vehicles Security and Privacy, 2023 | 2 | 2023 |
| PBW deformations of quadratic monomial algebras Z Cline, A Estornell, C Walton, M Wynne Communications in Algebra 47 (7), 2670-2688, 2019 | 2 | 2019 |
| The impact of features used by algorithms on perceptions of fairness A Estornell, T Zhang, S Das, CJ Ho, B Juba, Y Vorobeychik Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 1 | 2024 |
| User-Creator Feature Dynamics in Recommender Systems with Dual Influence T Lin, K Jin, A Estornell, X Zhang, Y Chen, Y Liu arXiv e-prints, arXiv: 2407.14094, 2024 | 1 | 2024 |
| Dataset Representativeness and Downstream Task Fairness V Borza, A Estornell, CJ Ho, B Malin, Y Vorobeychik arXiv preprint arXiv:2407.00170, 2024 | 1 | 2024 |
| Predicting customer goals in financial institution services: A data-driven LSTM approach A Estornell, SL Vasileiou, W Yeoh, D Borrajo, R Silva arXiv preprint arXiv:2406.19399, 2024 | 1 | 2024 |
| MACHINE LEARNING MODEL EVALUATION Y Yao, J Wei, J Ton, H Guo, A Estornell, Y Liu US Patent App. 18/885,135, 2025 | | 2025 |
| ACC-Debate: An Actor-Critic Approach to Multi-Agent Debate A Estornell, JF Ton, Y Yao, Y Liu arXiv preprint arXiv:2411.00053, 2024 | | 2024 |
| Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets V Borza, A Estornell, EW Clayton, CJ Ho, R Rothman, Y Vorobeychik, ... arXiv preprint arXiv:2408.01375, 2024 | | 2024 |
| User-Creator Feature Polarization in Recommender Systems with Dual Influence T Lin, K Jin, A Estornell, X Zhang, Y Chen, Y Liu arXiv preprint arXiv:2407.14094, 2024 | | 2024 |
| Popularizing fairness: group fairness and individual welfare A Estornell, S Das, B Juba, Y Vorobeychik Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7485-7493, 2023 | | 2023 |
| Consequences and Incentives of Fair Learning A Estornell Washington University in St. Louis, 2023 | | 2023 |
Yevgeniy VorobeychikWashington University in Saint LouisDirección de correo verificada de wustl.edu