Projects per year
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Dive into the research topics where Ferdinando Fioretto is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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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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 -
Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022
Dieng, A., Rateike, M., Farnadi, G., Fioretto, F., Kusner, M. & Schrouff, J., 2023, In: Proceedings of Machine Learning Research. 214, p. 1-6 6 p.Research output: Contribution to journal › Editorial › peer-review
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An Analysis of the Reliability of AC Optimal Power Flow Deep Learning Proxies
Dinh, M. H., Fioretto, F., Mohammadian, M. & Baker, K., 2023, 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023. Institute of Electrical and Electronics Engineers Inc., p. 170-174 5 p. (2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023).Research output: Chapter in Book/Entry/Poem › Conference contribution
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Backpropagation of Unrolled Solvers with Folded Optimization
Kotary, J., Dinh, M. H. & Fioretto, F., 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. Elkind, E. (ed.). International Joint Conferences on Artificial Intelligence, p. 1963-1970 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).Research output: Chapter in Book/Entry/Poem › Conference contribution
1 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