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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Travel: Doctoral Consortium at the 22nd International Conference on Autonomous Agents and Multiagent Systems
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
10/1/21 → 9/30/24
Project: Sponsored Project
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Collaborative Research: RI: Small: Deep Constrained Learning for Power Systems
10/1/20 → 9/30/24
Project: Sponsored Project
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Collaborative Research: RI: Small: End-to-End Learning of Fair and Explainable Schedules for Court Systems
8/1/23 → 7/31/26
Project: Sponsored Project
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Differentially-Private Heat and Electricity Markets Coordination
Mitridati, L., Romei, E., Hug, G. & Fioretto, F., 2022, 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022. Institute of Electrical and Electronics Engineers Inc., (2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022).Research output: Chapter in Book/Entry/Poem › Conference contribution
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Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Fioretto, F., Tran, C., Van Hentenryck, P. & Zhu, K., 2022, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. & De Raedt, L. (eds.). International Joint Conferences on Artificial Intelligence, p. 5470-5477 8 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book/Entry/Poem › Conference contribution
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End-to-End Learning for Fair Ranking Systems
Kotary, J., Fioretto, F., Van Hentenryck, P. & Zhu, Z., Apr 25 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. Association for Computing Machinery, Inc, p. 3520-3530 11 p. (WWW 2022 - Proceedings of the ACM Web Conference 2022).Research output: Chapter in Book/Entry/Poem › Conference contribution
1 Scopus citations -
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
Kotary, J., Fioretto, F. & Van Hentenryck, P., Jun 30 2022, AAAI-22 Technical Tracks 7. Association for the Advancement of Artificial Intelligence, p. 7239-7246 8 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).Research output: Chapter in Book/Entry/Poem › Conference contribution
1 Scopus citations -
Integrating Machine Learning and Optimization to Boost Decision Making
Fioretto, F., 2022, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. & De Raedt, L. (eds.). International Joint Conferences on Artificial Intelligence, p. 5808-5812 5 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book/Entry/Poem › Conference contribution