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Ferdinando Fioretto

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20122024

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  • 2024

    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 Access
    1 Scopus citations

  • Learning Joint Models of Prediction and Optimization

    Kotary, J., Di Vito, V., Christopher, J., Van Hentenryck, P. & Fioretto, F., Oct 16 2024, ECAI 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings. Endriss, U., Melo, F. S., Bach, K., Bugarin-Diz, A., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). IOS Press BV, p. 2476-2483 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    Open Access

  • On the Effects of Fairness to Adversarial Vulnerability

    Tran, C., Zhu, K., Van Hentenryck, P. & Fioretto, F., 2024, Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. Larson, K. (ed.). International Joint Conferences on Artificial Intelligence, p. 521-529 9 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

  • 2023

    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

    2 Scopus citations

  • 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

    Open Access
    2 Scopus citations

  • Differentiable Model Selection for Ensemble Learning

    Kotary, J., Di Vito, V. & 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. 1954-1962 9 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    Open Access
    4 Scopus citations

  • On the Fairness Impacts of Private Ensembles Models

    Tran, C. & 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. 510-518 9 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    Open Access
    1 Scopus citations

  • SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles

    Tran, C., Zhu, K., Fioretto, F. & Van Hentenryck, P., 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. Elkind, E. (ed.). International Joint Conferences on Artificial Intelligence, p. 501-509 9 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    Open Access
  • 2022

    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

    Open Access

  • 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

    Open Access
    26 Scopus citations

  • 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

    Open Access
    10 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

    Open Access
    9 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

    Open Access

  • Learning Solutions for Intertemporal Power Systems Optimization with Recurrent Neural Networks

    Mohammadian, M., Baker, K., Dinh, M. H. & 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

    3 Scopus citations

  • Post-processing of Differentially Private Data: A Fairness Perspective

    Zhu, K., Fioretto, F. & Van Hentenryck, P., 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. 4029-4035 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    Open Access
    9 Scopus citations

  • Pruning has a disparate impact on model accuracy

    Tran, C., Fioretto, F., Kim, J. E. & Naidu, R., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    12 Scopus citations
  • 2021

    Bias and Variance of Post-processing in Differential Privacy

    Zhu, K., Van Hentenryck, P. & Fioretto, F., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 11177-11184 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 12B).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    Open Access
    24 Scopus citations

  • Decision Making with Differential Privacy under a Fairness Lens

    Tran, C., Fioretto, F., Van Hentenryck, P. & Yao, Z., 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z.-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 560-566 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    Open Access
    25 Scopus citations

  • Differentially Private and Fair Deep Learning:A Lagrangian Dual Approach

    Tran, C., Fioretto, F. & Van Hentenryck, P., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 9932-9939 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 11B).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    Open Access
    44 Scopus citations

  • Differentially Private Empirical Risk Minimization under the Fairness Lens

    Tran, C., Dinh, M. H. & Fioretto, F., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 27555-27565 11 p. (Advances in Neural Information Processing Systems; vol. 33).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    28 Scopus citations

  • End-to-End Constrained Optimization Learning: A Survey

    Kotary, J., Fioretto, F., van Hentenryck, P. & Wilder, B., 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z.-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 4475-4482 8 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    Open Access
    53 Scopus citations

  • Lagrangian Duality for Constrained Deep Learning

    Fioretto, F., Van Hentenryck, P., Mak, T. W. K., Tran, C., Baldo, F. & Lombardi, M., 2021, Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings. Dong, Y., Mladenic, D. & Saunders, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 118-135 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12461 LNAI).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    Open Access
    45 Scopus citations

  • Learning Hard Optimization Problems: A Data Generation Perspective

    Kotary, J., Fioretto, F. & Van Hentenryck, P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 24981-24992 12 p. (Advances in Neural Information Processing Systems; vol. 30).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    23 Scopus citations

  • Privacy-preserving and accountable multi-agent learning

    Nagar, A., Tran, C. & Fioretto, F., 2021, 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1593-1594 2 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 3).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    2 Scopus citations

  • The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach

    Tabakhi, A. M., Yeoh, W. & Fioretto, F., 2021, PRIMA 2020: Principles and Practice of Multi-Agent Systems - 23rd International Conference, 2020, Proceedings. Uchiya, T., Bai, Q. & Marsá Maestre, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 100-115 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12568 LNAI).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    1 Scopus citations
  • 2020

    Differential privacy for stackelberg games

    Fioretto, F., Mitridati, L. & van Hentenryck, P., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 3480-3486 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    9 Scopus citations

  • OptStream: Releasing time series privately

    Fioretto, F. & van Hentenryck, P., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 5135-5139 5 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    1 Scopus citations

  • Predicting AC optimal power flows: Combining deep learning and lagrangian dual methods

    Fioretto, F., Mak, T. W. K. & van Hentenryck, P., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI Press, p. 630-637 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    149 Scopus citations
  • 2019

    Differential Privacy of Hierarchical Census Data: An Optimization Approach

    Fioretto, F. & Van Hentenryck, P., 2019, Principles and Practice of Constraint Programming - 25th International Conference, CP 2019, Proceedings. Schiex, T. & de Givry, S. (eds.). Springer, p. 639-655 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11802 LNCS).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    6 Scopus citations

  • Privacy-preserving federated data sharing

    Fioretto, F. & Van Hentenryck, P., 2019, 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 638-646 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    12 Scopus citations

  • Privacy-preserving obfuscation of critical infrastructure networks

    Fioretto, F., Mak, T. W. K. & Van Hentenryck, P., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 1086-1092 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    Open Access
    9 Scopus citations
  • 2018

    A large neighboring search schema for multi-agent optimization

    Hoang, K. D., Fioretto, F., Yeoh, W., Pontelli, E. & Zivan, R., 2018, Principles and Practice of Constraint Programming - 24th International Conference, CP 2018, Proceedings. Hooker, J. (ed.). Springer Verlag, p. 688-706 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11008 LNCS).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    22 Scopus citations

  • Constrained-based differential privacy: Releasing optimal power flow benchmarks privately

    Fioretto, F. & Van Hentenryck, P., 2018, Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 15th International Conference, CPAIOR 2018, Proceedings. van Hoeve, W.-J. (ed.). Springer Verlag, p. 215-231 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10848 LNCS).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    18 Scopus citations

  • Solving multiagent constraint optimization problems on the constraint composite graph

    Fioretto, F., Xu, H., Koenig, S. & Kumar, T. K. S., 2018, PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, 2018, Proceedings. Oren, N., Sakurai, Y., Noda, I., Cao Son, T., Miller, T. & Savarimuthu, B. T. (eds.). Springer Verlag, p. 106-122 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11224 LNAI).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    3 Scopus citations
  • 2017

    A distributed constraint optimization (DCOP) approach to the economic dispatch with demand response

    Fioretto, F., Yeoh, W., Pontelli, E., Ma, Y. & Ranade, S. J., 2017, 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017. Das, S., Durfee, E., Larson, K. & Winikoff, M. (eds.). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 999-1007 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    39 Scopus citations

  • A multiagent system approach to scheduling devices in smart homes

    Fioretto, F., Yeoh, W. & Pontelli, E., 2017, 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017. Das, S., Durfee, E., Larson, K. & Winikoff, M. (eds.). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 981-989 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    54 Scopus citations

  • A multiagent system approach to scheduling devices in smart homes

    Fioretto, F., Yeoh, W. & Pontelli, E., 2017, WS-17-01: Artificial Intelligence and Operations Research for Social Good; WS-17-02: Artificial Intelligence, Ethics, and Society; WS-17-03: Artificial Intelligence for Connected and Automated Vehicles; WS-17-04: Artificial Intelligence for Cyber Security; WS-17-05: Artificial Intelligence for Smart Grids and Buildings; WS-17-06: Computer Poker and Imperfect Information Games; WS-17-07: Crowdsourcing, Deep Learning and Artificial Intelligence Agents; WS-17-08: Distributed Machine Learning; WS-17-09: Joint Workshop on Health Intelligence; WS-17-10: Human-Aware Artificial Intelligence; WS-17-11: Human-Machine Collaborative Learning; WS-17-12: Knowledge-Based Techniques for Problem Solving and Reasoning; WS-17-13: Plan, Activity, and Intent Recognition; WS-17-14: Symbolic Inference and Optimization; WS-17-15: What's Next for AI in Games?. AI Access Foundation, p. 240-246 7 p. (AAAI Workshop - Technical Report; vol. WS-17-01 - WS-17-15).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    10 Scopus citations

  • A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs

    Kluegel, W., Iqbal, M. A., Fioretto, F., Yeoh, W. & Pontelli, E., 2017, Autonomous Agents and Multiagent Systems - AAMAS 2017 Workshops, Visionary Papers, Revised Selected Papers. Sukthankar, G. & Rodriguez-Aguilar, J. A. (eds.). Springer Verlag, p. 125-142 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10643 LNAI).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    6 Scopus citations

  • Infinite-horizon proactive dynamic DCOPs

    Hoang, K. D., Hou, P., Fioretto, F., Yeoh, W., Zivan, R. & Yokoo, M., 2017, 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017. Durfee, E., Das, S., Larson, K. & Winikoff, M. (eds.). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 212-220 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 1).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    20 Scopus citations

  • Investigation of learning strategies for the SPOT broker in power TAC

    Chowdhury, M. M. P., Folk, R. Y., Fioretto, F., Kiekintveld, C. & Yeoh, W., 2017, Agent-Mediated Electronic Commerce: Designing Trading Strategies and Mechanisms for Electronic Markets - International Workshop on Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, AMEC/TADA 2016. Vetsikas, I. A., David, E., Ceppi, S., Hajaj, C. & Robu, V. (eds.). Springer Verlag, p. 96-111 16 p. (Lecture Notes in Business Information Processing; vol. 271).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    6 Scopus citations

  • Preference elicitation for DCOPs

    Tabakhi, A. M., Le, T., Fioretto, F. & Yeoh, W., 2017, Principles and Practice of Constraint Programming - 23rd International Conference CP 2017, Proceedings. Beck, J. C. (ed.). Springer Verlag, p. 278-296 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10416 LNCS).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    15 Scopus citations
  • 2016

    A dynamic programming-based MCMC framework for solving DCOPs with GPUs

    Fioretto, F., Yeoh, W. & Pontelli, E., 2016, Principles and Practice of Constraint Programming - 22nd International Conference, CP 2016, Proceedings. Rueher, M. (ed.). Springer Verlag, p. 813-831 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9892 LNCS).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    10 Scopus citations

  • ER-DCOPs: A framework for distributed constraint optimization with uncertainty in constraint utilities

    Le, T., Fioretto, F., Yeoh, W., Son, T. C. & Pontelli, E., 2016, AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 606-614 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    14 Scopus citations

  • Multi-variable agent decomposition for DCOPs

    Fioretto, F., Yeoh, W. & Pontelli, E., 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI Press, p. 2480-2486 7 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    18 Scopus citations

  • Proactive dynamic DCOPs

    Hoang, K., Fioretto, F., Hou, P., Yokoo, M., Yeoh, W. & Zivan, R., 2016, WS-16-01: Artificial Intelligence Applied to Assistive Technologies and Smart Environments; WS-16-02: AI, Ethics, and Society; WS-16-03: Artificial Intelligence for Cyber Security; WS-16-04: Artificial Intelligence for Smart Grids and Smart Buildings; WS-16-05: Beyond NP; WS-16-06: Computer Poker and Imperfect Information Games; WS-16-07: Declarative Learning Based Programming; WS-16-08: Expanding the Boundaries of Health Informatics Using AI; WS-16-09: Incentives and Trust in Electronic Communities; WS-16-10: Knowledge Extraction from Text; WS-16-11: Multiagent Interaction without Prior Coordination; WS-16-12: Planning for Hybrid Systems; WS-16-13: Scholarly Big Data: AI Perspectives, Challenges, and Ideas; WS-16-14: Symbiotic Cognitive Systems; WS-16-15: World Wide Web and Population Health Intelligence. AI Access Foundation, p. 233-240 8 p. (AAAI Workshop - Technical Report; vol. WS-16-01 - WS-16-15).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

  • Proactive dynamic distributed constraint optimization

    Hoang, K. D., Fioretto, F., Hou, P., Yokoo, M., Yeoh, W. & Zivan, R., 2016, AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 597-605 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    23 Scopus citations
  • 2015

    Exploiting GPUs in solving (distributed) constraint optimization problems with dynamic programming

    Fioretto, F., Le, T., Pontelli, E., Yeoh, W. & Son, T. C., 2015, Principles and Practice of Constraint Programming - 21st International Conference, CP 2015, Proceedings. Pesant, G. (ed.). Springer Verlag, p. 121-139 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9255).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    9 Scopus citations

  • Exploiting the structure of distributed constraint optimization problems

    Fioretto, F., Jun 1 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, p. 4233-4234 2 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 6).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

  • Exploiting the structure of Distributed Constraint Optimization Problems (doctoral consortium)

    Fioretto, F., 2015, AAMAS 2015 - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems. Bordini, R. H., Yolum, P., Elkind, E. & Weiss, G. (eds.). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 2007-2008 2 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 3).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

  • Large neighborhood search with quality guarantees for distributed constraint optimization problems

    Fioretto, F., Campeotto, F., Dovier, A., Pontelli, E. & Yeoh, W., 2015, AAMAS 2015 - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems. Bordini, R. H., Yolum, P., Elkind, E. & Weiss, G. (eds.). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1835-1836 2 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 3).

    Research output: Chapter in Book/Entry/Poem › Conference contribution

    3 Scopus citations