| 2026 | AAAI | Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning. | Jinhao Liang, Sven Koenig, Ferdinando Fioretto |
| 2025 | AAAI | Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes. | Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto |
| 2025 | AISTATS | Differentially Private Graph Data Release: Inefficiencies & Unfairness. | Ferdinando Fioretto, Diptangshu Sen, Juba Ziani |
| 2025 | ICLR | Learning to Solve Differential Equation Constrained Optimization Problems. | Vincenzo Di Vito Francesco, Mostafa Mohammadian, Kyri Baker, Ferdinando Fioretto |
| 2025 | ICML | Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models. | Jinhao Liang, Jacob K. Christopher, Sven Koenig, Ferdinando Fioretto |
| 2025 | NAACL | Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion. | Jacob K. Christopher, Brian R. Bartoldson, Tal Ben-Nun, Michael Cardei, Bhavya Kailkhura, Ferdinando Fioretto |
| 2024 | AAAI | Finding ε and δ of Traditional Disclosure Control Systems. | Saswat Das, Keyu Zhu, Christine Task, Pascal Van Hentenryck, Ferdinando Fioretto |
| 2024 | ECAI | Learning Joint Models of Prediction and Optimization. | James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto |
| 2024 | ICML | Disparate Impact on Group Accuracy of Linearization for Private Inference. | Saswat Das, Marco Romanelli, Ferdinando Fioretto |
| 2024 | ICML | On The Fairness Impacts of Hardware Selection in Machine Learning. | Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto |
| 2024 | IJCAI | On the Effects of Fairness to Adversarial Vulnerability. | Cuong Tran, Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto |
| 2024 | UAI | End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty. | My H. Dinh, James Kotary, Ferdinando Fioretto |
| 2023 | IJCAI | On the Fairness Impacts of Private Ensembles Models. | Cuong Tran, Ferdinando Fioretto |
| 2023 | IJCAI | SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. | Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck |
| 2023 | IJCAI | Backpropagation of Unrolled Solvers with Folded Optimization. | James Kotary, My H. Dinh, Ferdinando Fioretto |
| 2023 | IJCAI | Differentiable Model Selection for Ensemble Learning. | James Kotary, Vincenzo Di Vito, Ferdinando Fioretto |
| 2022 | AAAI | Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. | James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck |
| 2022 | IJCAI | Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. | Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu |
| 2022 | IJCAI | Integrating Machine Learning and Optimization to Boost Decision Making. | Ferdinando Fioretto |
| 2022 | IJCAI | Post-processing of Differentially Private Data: A Fairness Perspective. | Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck |
| 2022 | WWW | End-to-End Learning for Fair Ranking Systems. | James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu |
| 2021 | AAAI | Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. | Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck |
| 2021 | AAAI | Bias and Variance of Post-processing in Differential Privacy. | Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto |
| 2021 | CP | Constrained-Based Differential Privacy (Invited Talk). | Ferdinando Fioretto |
| 2021 | IJCAI | Decision Making with Differential Privacy under a Fairness Lens. | Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao |
| 2021 | IJCAI | End-to-End Constrained Optimization Learning: A Survey. | James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder |
| 2020 | AAAI | Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. | Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck |
| 2020 | IJCAI | OptStream: Releasing Time Series Privately (Extended Abstract). | Ferdinando Fioretto, Pascal Van Hentenryck |
| 2020 | IJCAI | Differential Privacy for Stackelberg Games. | Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck |
| 2020 | PRIMA | The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach. | Atena M. Tabakhi, William Yeoh, Ferdinando Fioretto |
| 2019 | CP | Differential Privacy of Hierarchical Census Data: An Optimization Approach. | Ferdinando Fioretto, Pascal Van Hentenryck |
| 2019 | IJCAI | Privacy-Preserving Obfuscation of Critical Infrastructure Networks. | Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck |
| 2018 | CP | A Large Neighboring Search Schema for Multi-agent Optimization. | Khoi D. Hoang, Ferdinando Fioretto, William Yeoh, Enrico Pontelli, Roie Zivan |
| 2018 | CPAIOR | Constrained-Based Differential Privacy: Releasing Optimal Power Flow Benchmarks Privately - Releasing Optimal Power Flow Benchmarks Privately. | Ferdinando Fioretto, Pascal Van Hentenryck |
| 2018 | ISAIM | Constraint Composite Graph-Based Lifted Message Passing for Distributed Constraint Optimization Problems. | Ferdinando Fioretto, Hong Xu, Sven Koenig, T. K. Satish Kumar |
| 2018 | PRIMA | Solving Multiagent Constraint Optimization Problems on the Constraint Composite Graph. | Ferdinando Fioretto, Hong Xu, Sven Koenig, T. K. Satish Kumar |
| 2017 | AAAI | A Multiagent System Approach to Scheduling Devices in Smart Homes. | Ferdinando Fioretto, William Yeoh, Enrico Pontelli |
| 2017 | CP | Preference Elicitation for DCOPs. | Atena M. Tabakhi, Tiep Le, Ferdinando Fioretto, William Yeoh |
| 2016 | AAAI | Multi-Variable Agents Decomposition for DCOPs. | Ferdinando Fioretto, William Yeoh, Enrico Pontelli |
| 2016 | AAAI | Proactive Dynamic DCOPs. | Khoi D. Hoang, Ferdinando Fioretto, Ping Hou, Makoto Yokoo, William Yeoh, Roie Zivan |
| 2016 | CP | A Dynamic Programming-Based MCMC Framework for Solving DCOPs with GPUs. | Ferdinando Fioretto, William Yeoh, Enrico Pontelli |
| 2015 | AAAI | Exploiting the Structure of Distributed Constraint Optimization Problems. | Ferdinando Fioretto |
| 2015 | CP | Exploiting GPUs in Solving (Distributed) Constraint Optimization Problems with Dynamic Programming. | Ferdinando Fioretto, Tiep Le, Enrico Pontelli, William Yeoh, Tran Cao Son |
| 2014 | CP | Improving DPOP with Branch Consistency for Solving Distributed Constraint Optimization Problems. | Ferdinando Fioretto, Tiep Le, William Yeoh, Enrico Pontelli, Tran Cao Son |
| 2014 | ECAI | A GPU Implementation of Large Neighborhood Search for Solving Constraint Optimization Problems. | Federico Campeotto, Agostino Dovier, Ferdinando Fioretto, Enrico Pontelli |
| 2014 | PADL | Exploring the Use of GPUs in Constraint Solving. | Federico Campeotto, Alessandro Dal Pal, Agostino Dovier, Ferdinando Fioretto, Enrico Pontelli |
| 2012 | CP | A Filtering Technique for Fragment Assembly- Based Proteins Loop Modeling with Constraints. | Federico Campeotto, Alessandro Dal Pal, Agostino Dovier, Ferdinando Fioretto, Enrico Pontelli |