Projects per year
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
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Collaborative Research: RI: Small: End-to-End Learning of Fair and Explainable Schedules for Court Systems
Fioretto, F. (PI)
8/1/23 → 7/31/26
Project: Sponsored Project
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CAREER: End-to-end Constrained Optimization Learning
Fioretto, F. (PI)
3/15/22 → 2/28/27
Project: Sponsored Project
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Travel: Doctoral Consortium at the 22nd International Conference on Autonomous Agents and Multiagent Systems
Fioretto, F. (PI)
4/15/23 → 3/31/24
Project: Sponsored Project
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Collaborative Research: SaTC: CORE: Small: Privacy and Fairness in Critical Decision Making
Fioretto, F. (PI)
10/1/21 → 9/30/24
Project: Sponsored Project
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Collaborative Research: RI: Small: Deep Constrained Learning for Power Systems
Fioretto, F. (PI)
10/1/20 → 9/30/24
Project: Sponsored Project
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Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Mandi, J., Kotary, J., Berden, S., Mulamba, M., Bucarey, V., Guns, T. & Fioretto, F., 2024, In: Journal of Artificial Intelligence Research. 80, p. 1623-1701 79 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Disparate Impact on Group Accuracy of Linearization for Private Inference
Das, S., Romanelli, M. & Fioretto, F., 2024, In: Proceedings of Machine Learning Research. 235, p. 10168-10184 17 p.Research output: Contribution to journal › Conference Article › peer-review
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End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
Dinh, M. H., Kotary, J. & Fioretto, F., 2024, In: Proceedings of Machine Learning Research. 244, p. 1129-1145 17 p.Research output: Contribution to journal › Conference Article › peer-review
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Finding ϵ and δ of Statistical Disclosure Control Systems
Das, S., Zhu, K., Task, C., Van Hentenryck, P. & Fioretto, F., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 20, p. 22013-22020 8 p.Research output: Contribution to journal › Conference Article › peer-review
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Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
Dinh, M. H., Kotary, J. & Fioretto, F., Jun 3 2024, 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024. Association for Computing Machinery, Inc, p. 2508-2517 10 p. (2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024).Research output: Chapter in Book/Entry/Poem › Conference contribution
Open Access1 Scopus citations
Press and Media
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Building fairness into AI is crucial – and hard to get right
3/30/24
1 item of Media coverage
Press/Media: Expert Comment
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BEYOND LOCAL: Building fairness into AI is crucial – and hard to get right
3/24/24
1 item of Media coverage
Press/Media: Expert Comment
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Building fairness into AI is crucial – and hard to get right
3/23/24 → 3/24/24
2 items of Media coverage
Press/Media: Expert Comment
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Building fairness into AI is crucial – and hard to get right
3/19/24
5 items of Media coverage
Press/Media: Expert Comment
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Building fairness into AI is crucial – and hard to get right
3/19/24
1 item of Media coverage
Press/Media: Expert Comment