Ferdinando Fioretto

180 papers A* 32A 25B 3C 1Misc 1Journal 100Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems. CoRR Mason Nakamura, Abhinav Kumar, Saswat Das, Sahar Abdelnabi, Saaduddin Mahmud, Ferdinando Fioretto, Shlomo Zilberstein, Eugene Bagdasarian
2026	J	`jnl`	Constrained Diffusion for Accelerated Structure Relaxation of Inorganic Solids with Point Defects. CoRR Jingyi Cui, Jacob K. Christopher, Ankita Biswas, Prasanna V. Balachandran, Ferdinando Fioretto
2026	A*	`conf`	Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning. AAAI Jinhao Liang, Sven Koenig, Ferdinando Fioretto
2026	J	`jnl`	NeuroFilter: Privacy Guardrails for Conversational LLM Agents. CoRR Saswat Das, Ferdinando Fioretto
2026	J	`jnl`	Search-Augmented Masked Diffusion Models for Constrained Generation. CoRR Huu Binh Ta, Michael Cardei, Alvaro Velasquez, Ferdinando Fioretto
2025	J	`jnl`	A Method for Learning to Solve Parametric Bilevel Optimization with Coupling Constraints. CoRR James Kotary, Himanshu Sharma, Ethan King, Draguna L. Vrabie, Ferdinando Fioretto, Ján Drgona
2025	J	`jnl`	Chance-constrained Flow Matching for High-Fidelity Constraint-aware Generation. CoRR Jinhao Liang, Yixuan Sun, Anirban Samaddar, Sandeep Madireddy, Ferdinando Fioretto
2025	J	`jnl`	Constrained Diffusion for Protein Design with Hard Structural Constraints. CoRR Jacob K. Christopher, Austin Seamann, Jingyi Cui, Sagar Khare, Ferdinando Fioretto
2025	J	`jnl`	Constrained Language Generation with Discrete Diffusion Models. CoRR Michael Cardei, Jacob K. Christopher, Thomas Hartvigsen, Brian R. Bartoldson, Bhavya Kailkhura, Ferdinando Fioretto
2025	A	`conf`	Differentially Private Graph Data Release: Inefficiencies & Unfairness. AISTATS Ferdinando Fioretto, Diptangshu Sen, Juba Ziani
2025	J	`jnl`	Disclosure Audits for LLM Agents. CoRR Saswat Das, Jameson Sandler, Ferdinando Fioretto
2025	J	`jnl`	Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning. CoRR Jinhao Liang, Sven Koenig, Ferdinando Fioretto
2025	—	`conf`	FairDP: Achieving Fairness Certification with Differential Privacy. SaTML Khang Tran, Ferdinando Fioretto, Issa Khalil, My T. Thai, Linh Thi Xuan Phan, NhatHai Phan
2025	A*	`conf`	Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes. AAAI Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto
2025	J	`jnl`	Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making. CoRR Prince Zizhuang Wang, Jinhao Liang, Shuyi Chen, Ferdinando Fioretto, Shixiang Zhu
2025	J	`jnl`	Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management. CoRR Shuyi Chen, Ferdinando Fioretto, Feng Qiu, Shixiang Zhu
2025	A*	`conf`	Learning to Solve Differential Equation Constrained Optimization Problems. ICLR Vincenzo Di Vito Francesco, Mostafa Mohammadian, Kyri Baker, Ferdinando Fioretto
2025	J	`jnl`	Learning to Solve Optimization Problems Constrained with Partial Differential Equations. CoRR Yusuf Guven, Vincenzo Di Vito, Ferdinando Fioretto
2025	—	`conf`	Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation. NeuS Jacob K. Christopher, Michael Cardei, Jinhao Liang, Ferdinando Fioretto
2025	J	`jnl`	Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation. CoRR Jacob K. Christopher, Michael Cardei, Jinhao Liang, Ferdinando Fioretto
2025	J	`jnl`	Optimal Allocation of Privacy Budget on Hierarchical Data Release. CoRR Joonhyuk Ko, Juba Ziani, Ferdinando Fioretto
2025	—	`conf`	Privacy-Preserving Convex Optimization: When Differential Privacy Meets Stochastic Programming. CDC Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Pierre Pinson, Jalal Kazempour
2025	A*	`conf`	Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models. ICML Jinhao Liang, Jacob K. Christopher, Sven Koenig, Ferdinando Fioretto
2025	J	`jnl`	Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models. CoRR Jinhao Liang, Jacob K. Christopher, Sven Koenig, Ferdinando Fioretto
2025	J	`jnl`	SoK: Data Minimization in Machine Learning. CoRR Robin Staab, Nikola Jovanovic, Kimberly Mai, Prakhar Ganesh, Martin T. Vechev, Ferdinando Fioretto, Matthew Jagielski
2025	J	`jnl`	SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding. CoRR Jameson Sandler, Jacob K. Christopher, Thomas Hartvigsen, Ferdinando Fioretto
2025	—	`conf`	Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion. NAACL (Long Papers) Jacob K. Christopher, Brian R. Bartoldson, Tal Ben-Nun, Michael Cardei, Bhavya Kailkhura, Ferdinando Fioretto
2025	—	`conf`	The Data Minimization Principle in Machine Learning. FAccT Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto
2025	J	`jnl`	The Disparate Impacts of Speculative Decoding. CoRR Jameson Sandler, Ahmet Üstün, Marco Romanelli, Sara Hooker, Ferdinando Fioretto
2025	J	`jnl`	Training-Free Constrained Generation With Stable Diffusion Models. CoRR Stefano Zampini, Jacob Christopher, Luca Oneto, Davide Anguita, Ferdinando Fioretto
2024	—	`conf`	Algorithmic Fairness Through the Lens of Metrics and Evaluation (AFME) 2024. AFME Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi
2024	A*	`conf`	Constrained Synthesis with Projected Diffusion Models. NeurIPS Jacob K. Christopher, Stephen Baek, Ferdinando Fioretto
2024	J	`jnl`	Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities. J. Artif. Intell. Res. Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
2024	J	`jnl`	Differential Privacy Overview and Fundamental Techniques. CoRR Ferdinando Fioretto, Pascal Van Hentenryck, Juba Ziani
2024	J	`jnl`	Differentially Private Data Release on Graphs: Inefficiencies and Unfairness. CoRR Ferdinando Fioretto, Diptangshu Sen, Juba Ziani
2024	A*	`conf`	Disparate Impact on Group Accuracy of Linearization for Private Inference. ICML Saswat Das, Marco Romanelli, Ferdinando Fioretto
2024	J	`jnl`	Disparate Impact on Group Accuracy of Linearization for Private Inference. CoRR Saswat Das, Marco Romanelli, Ferdinando Fioretto
2024	A	`conf`	End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty. UAI My H. Dinh, James Kotary, Ferdinando Fioretto
2024	J	`jnl`	End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty. CoRR My H. Dinh, James Kotary, Ferdinando Fioretto
2024	J	`jnl`	End-to-End Optimization and Learning of Fair Court Schedules. CoRR My H. Dinh, James Kotary, Lauryn P. Gouldin, William Yeoh, Ferdinando Fioretto
2024	J	`jnl`	Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes. CoRR Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto
2024	A*	`conf`	Finding ε and δ of Traditional Disclosure Control Systems. AAAI Saswat Das, Keyu Zhu, Christine Task, Pascal Van Hentenryck, Ferdinando Fioretto
2024	J	`jnl`	Learning Constrained Optimization with Deep Augmented Lagrangian Methods. CoRR James Kotary, Ferdinando Fioretto
2024	—	`conf`	Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages. FAccT My H. Dinh, James Kotary, Ferdinando Fioretto
2024	J	`jnl`	Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages. CoRR My H. Dinh, James Kotary, Ferdinando Fioretto
2024	A	`conf`	Learning Joint Models of Prediction and Optimization. ECAI James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto
2024	J	`jnl`	Learning Joint Models of Prediction and Optimization. CoRR James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto
2024	J	`jnl`	Learning To Solve Differential Equation Constrained Optimization Problems. CoRR Vincenzo Di Vito, Mostafa Mohammadian, Kyri Baker, Ferdinando Fioretto
2024	J	`jnl`	Learning to Optimize meets Neural-ODE: Real-Time, Stability-Constrained AC OPF. CoRR Vincenzo Di Vito, Mostafa Mohammadian, Kyri Baker, Ferdinando Fioretto
2024	J	`jnl`	Low-rank finetuning for LLMs: A fairness perspective. CoRR Saswat Das, Marco Romanelli, Cuong Tran, Zarreen Reza, Bhavya Kailkhura, Ferdinando Fioretto
2024	J	`jnl`	Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming. CoRR Ethan King, James Kotary, Ferdinando Fioretto, Ján Drgona
2024	—	`conf`	Metric Learning to Accelerate Convergence of Operator Splitting Methods. CDC Ethan King, James Kotary, Ferdinando Fioretto, Ján Drgona
2024	J	`jnl`	Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models. CoRR Jinhao Liang, Jacob K. Christopher, Sven Koenig, Ferdinando Fioretto
2024	A*	`conf`	On The Fairness Impacts of Hardware Selection in Machine Learning. ICML Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto
2024	A*	`conf`	On the Effects of Fairness to Adversarial Vulnerability. IJCAI Cuong Tran, Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto
2024	—	`ed.`	Proceedings of the Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 14 December 2024, Vancouver Convention Center, Vancouver, Canada AFME Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi
2024	J	`jnl`	Projected Generative Diffusion Models for Constraint Satisfaction. CoRR Jacob K. Christopher, Stephen Baek, Ferdinando Fioretto
2024	J	`jnl`	Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion. CoRR Jacob K. Christopher, Brian R. Bartoldson, Bhavya Kailkhura, Ferdinando Fioretto
2024	J	`jnl`	The Data Minimization Principle in Machine Learning. CoRR Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto
2023	J	`jnl`	Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization. CoRR James Kotary, Jacob Christopher, My H. Dinh, Ferdinando Fioretto
2023	A*	`conf`	Backpropagation of Unrolled Solvers with Folded Optimization. IJCAI James Kotary, My H. Dinh, Ferdinando Fioretto
2023	J	`jnl`	Context-Aware Differential Privacy for Language Modeling. CoRR My H. Dinh, Ferdinando Fioretto
2023	A*	`conf`	Data Minimization at Inference Time. NeurIPS Cuong Tran, Ferdinando Fioretto
2023	J	`jnl`	Data Minimization at Inference Time. CoRR Cuong Tran, Ferdinando Fioretto
2023	J	`jnl`	Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities. CoRR Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
2023	A*	`conf`	Differentiable Model Selection for Ensemble Learning. IJCAI James Kotary, Vincenzo Di Vito, Ferdinando Fioretto
2023	A	`conf`	End-to-End Optimization and Learning for Multiagent Ensembles. AAMAS James Kotary, Vincenzo Di Vito, Ferdinando Fioretto
2023	J	`jnl`	FairDP: Certified Fairness with Differential Privacy. CoRR Khang Tran, Ferdinando Fioretto, Issa Khalil, My T. Thai, NhatHai Phan
2023	J	`jnl`	Folded Optimization for End-to-End Model-Based Learning. CoRR James Kotary, My H. Dinh, Ferdinando Fioretto
2023	J	`jnl`	On The Fairness Impacts of Hardware Selection in Machine Learning. CoRR Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto
2023	A*	`conf`	On the Fairness Impacts of Private Ensembles Models. IJCAI Cuong Tran, Ferdinando Fioretto
2023	J	`jnl`	On the Fairness Impacts of Private Ensembles Models. CoRR Cuong Tran, Ferdinando Fioretto
2023	J	`jnl`	Personalized Privacy Auditing and Optimization at Test Time. CoRR Cuong Tran, Ferdinando Fioretto
2023	J	`jnl`	Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization. CoRR James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto
2023	J	`jnl`	Price-Aware Deep Learning for Electricity Markets. CoRR Vladimir Dvorkin, Ferdinando Fioretto
2023	J	`jnl`	Privacy and Bias Analysis of Disclosure Avoidance Systems. CoRR Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck, Saswat Das, Christine Task
2023	A*	`conf`	SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. IJCAI Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
2022	—	`conf`	Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022. AFCP Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff
2022	—	`ed.`	Algorithmic Fairness through the Lens of Causality and Privacy Workshop, AFCP 2022, New Orleans, LA, USA (hybrid), 03 December 2022 AFCP Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff
2022	J	`jnl`	Deadwooding: Robust Global Pruning for Deep Neural Networks. CoRR Sawinder Kaur, Ferdinando Fioretto, Asif Salekin
2022	A*	`conf`	Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. IJCAI Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu
2022	J	`jnl`	Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. CoRR Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu
2022	J	`jnl`	Differentially-Private Heat and Electricity Markets Coordination. CoRR Lesia Mitridati, Emma Romei, Gabriela Hug, Ferdinando Fioretto
2022	A*	`conf`	End-to-End Learning for Fair Ranking Systems. WWW James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu
2022	J	`jnl`	End-to-End Optimization and Learning for Multiagent Ensembles. CoRR James Kotary, Vincenzo Di Vito, Ferdinando Fioretto
2022	J	`jnl`	Fairness Increases Adversarial Vulnerability. CoRR Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
2022	A*	`conf`	Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. AAAI James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
2022	J	`jnl`	Gradient-Enhanced Physics-Informed Neural Networks for Power Systems Operational Support. CoRR Mostafa Mohammadian, Kyri Baker, Ferdinando Fioretto
2022	A*	`conf`	Integrating Machine Learning and Optimization to Boost Decision Making. IJCAI Ferdinando Fioretto
2022	A*	`conf`	Post-processing of Differentially Private Data: A Fairness Perspective. IJCAI Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
2022	J	`jnl`	Post-processing of Differentially Private Data: A Fairness Perspective. CoRR Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
2022	J	`jnl`	Proactive Dynamic Distributed Constraint Optimization Problems. J. Artif. Intell. Res. Khoi D. Hoang, Ferdinando Fioretto, Ping Hou, William Yeoh, Makoto Yokoo, Roie Zivan
2022	A*	`conf`	Pruning has a disparate impact on model accuracy. NeurIPS Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu
2022	J	`jnl`	Pruning has a disparate impact on model accuracy. CoRR Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu
2022	J	`jnl`	SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. CoRR Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
2021	J	`jnl`	A Fairness Analysis on Private Aggregation of Teacher Ensembles. CoRR Cuong Tran, My H. Dinh, Kyle Beiter, Ferdinando Fioretto
2021	J	`jnl`	A Privacy-Preserving and Trustable Multi-agent Learning Framework. CoRR Anudit Nagar, Cuong Tran, Ferdinando Fioretto
2021	A*	`conf`	Bias and Variance of Post-processing in Differential Privacy. AAAI Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto
2021	A	`conf`	Constrained-Based Differential Privacy (Invited Talk). CP Ferdinando Fioretto
2021	A*	`conf`	Decision Making with Differential Privacy under a Fairness Lens. IJCAI Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao
2021	J	`jnl`	Decision Making with Differential Privacy under a Fairness Lens. CoRR Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck
2021	J	`jnl`	Differential privacy of hierarchical Census data: An optimization approach. Artif. Intell. Ferdinando Fioretto, Pascal Van Hentenryck, Keyu Zhu
2021	J	`jnl`	Differentially Private Deep Learning under the Fairness Lens. CoRR Cuong Tran, My H. Dinh, Ferdinando Fioretto
2021	A*	`conf`	Differentially Private Empirical Risk Minimization under the Fairness Lens. NeurIPS Cuong Tran, My H. Dinh, Ferdinando Fioretto
2021	A*	`conf`	Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. AAAI Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck
2021	A*	`conf`	End-to-End Constrained Optimization Learning: A Survey. IJCAI James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder
2021	J	`jnl`	End-to-End Constrained Optimization Learning: A Survey. CoRR James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder
2021	J	`jnl`	End-to-end Learning for Fair Ranking Systems. CoRR James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu
2021	J	`jnl`	Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. CoRR James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
2021	A*	`conf`	Learning Hard Optimization Problems: A Data Generation Perspective. NeurIPS James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
2021	J	`jnl`	Learning Hard Optimization Problems: A Data Generation Perspective. CoRR James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
2021	J	`jnl`	Load Embeddings for Scalable AC-OPF Learning. CoRR Terrence W. K. Mak, Ferdinando Fioretto, Pascal Van Hentenryck
2021	A	`conf`	Privacy-Preserving and Accountable Multi-agent Learning. AAMAS Anudit Nagar, Cuong Tran, Ferdinando Fioretto
2021	J	`jnl`	Towards Understanding the Unreasonable Effectiveness of Learning AC-OPF Solutions. CoRR My H. Dinh, Ferdinando Fioretto, Mostafa Mohammadian, Kyri Baker
2020	J	`jnl`	A Lagrangian Dual Framework for Deep Neural Networks with Constraints. CoRR Ferdinando Fioretto, Terrence W. K. Mak, Federico Baldo, Michele Lombardi, Pascal Van Hentenryck
2020	J	`jnl`	Bias and Variance of Post-processing in Differential Privacy. CoRR Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto
2020	J	`jnl`	Bilevel Optimization for Differentially Private Optimization. CoRR Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
2020	J	`jnl`	Differential Privacy for Power Grid Obfuscation. IEEE Trans. Smart Grid Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
2020	A*	`conf`	Differential Privacy for Stackelberg Games. IJCAI Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck
2020	J	`jnl`	Differential Privacy for Stackelberg Games. CoRR Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck
2020	J	`jnl`	Differential Privacy of Hierarchical Census Data: An Optimization Approach. CoRR Ferdinando Fioretto, Pascal Van Hentenryck, Keyu Zhu
2020	J	`jnl`	Differentially Private Convex Optimization with Feasibility Guarantees. CoRR Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson
2020	J	`jnl`	Differentially Private Optimal Power Flow for Distribution Grids. CoRR Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson
2020	J	`jnl`	Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. CoRR Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck
2020	J	`jnl`	High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow. CoRR Minas Chatzos, Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
2020	—	`conf`	Lagrangian Duality for Constrained Deep Learning. ECML/PKDD (5) Ferdinando Fioretto, Pascal Van Hentenryck, Terrence W. K. Mak, Cuong Tran, Federico Baldo, Michele Lombardi
2020	A*	`conf`	OptStream: Releasing Time Series Privately (Extended Abstract). IJCAI Ferdinando Fioretto, Pascal Van Hentenryck
2020	A*	`conf`	Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. AAAI Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
2020	J	`jnl`	The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John A. McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia-Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang
2020	B	`conf`	The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach. PRIMA Atena M. Tabakhi, William Yeoh, Ferdinando Fioretto
2019	J	`jnl`	Differential Privacy for Power Grid Obfuscation. CoRR Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
2019	A	`conf`	Differential Privacy of Hierarchical Census Data: An Optimization Approach. CP Ferdinando Fioretto, Pascal Van Hentenryck
2019	J	`jnl`	OptStream: Releasing Time Series Privately. J. Artif. Intell. Res. Ferdinando Fioretto, Pascal Van Hentenryck
2019	J	`jnl`	PPSM: A Privacy-Preserving Stackelberg Mechanism: Privacy Guarantees for the Coordination of Sequential Electricity and Gas Markets. CoRR Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck
2019	J	`jnl`	Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. CoRR Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
2019	A	`conf`	Privacy-Preserving Federated Data Sharing. AAMAS Ferdinando Fioretto, Pascal Van Hentenryck
2019	J	`jnl`	Privacy-Preserving Obfuscation for Distributed Power Systems. CoRR Terrence W. K. Mak, Ferdinando Fioretto, Pascal Van Hentenryck
2019	A*	`conf`	Privacy-Preserving Obfuscation of Critical Infrastructure Networks. IJCAI Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
2019	J	`jnl`	Privacy-Preserving Obfuscation of Critical Infrastructure Networks. CoRR Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
2018	A	`conf`	A Large Neighboring Search Schema for Multi-agent Optimization. CP Khoi D. Hoang, Ferdinando Fioretto, William Yeoh, Enrico Pontelli, Roie Zivan
2018	J	`jnl`	AI buzzwords explained: distributed constraint optimization problems. AI Matters Ferdinando Fioretto, William Yeoh
2018	J	`jnl`	Accelerating exact and approximate inference for (distributed) discrete optimization with GPUs. Constraints An Int. J. Ferdinando Fioretto, Enrico Pontelli, William Yeoh, Rina Dechter
2018	A	`conf`	Constrained-Based Differential Privacy for Mobility Services. AAMAS Ferdinando Fioretto, Chansoo Lee, Pascal Van Hentenryck
2018	B	`conf`	Constrained-Based Differential Privacy: Releasing Optimal Power Flow Benchmarks Privately - Releasing Optimal Power Flow Benchmarks Privately. CPAIOR Ferdinando Fioretto, Pascal Van Hentenryck
2018	Misc	`conf`	Constraint Composite Graph-Based Lifted Message Passing for Distributed Constraint Optimization Problems. ISAIM Ferdinando Fioretto, Hong Xu, Sven Koenig, T. K. Satish Kumar
2018	J	`jnl`	Differential Private Stream Processing of Energy Consumption. CoRR Ferdinando Fioretto, Pascal Van Hentenryck
2018	J	`jnl`	Distributed Constraint Optimization Problems and Applications: A Survey. J. Artif. Intell. Res. Ferdinando Fioretto, Enrico Pontelli, William Yeoh
2018	J	`jnl`	Distributed multi-agent optimization for smart grids and home automation. Intelligenza Artificiale Ferdinando Fioretto, Agostino Dovier, Enrico Pontelli
2018	J	`jnl`	Past and present (and future) of parallel and distributed computation in (constraint) logic programming. Theory Pract. Log. Program. Ferdinando Fioretto, Enrico Pontelli
2018	B	`conf`	Solving Multiagent Constraint Optimization Problems on the Constraint Composite Graph. PRIMA Ferdinando Fioretto, Hong Xu, Sven Koenig, T. K. Satish Kumar
2017	A	`conf`	A Distributed Constraint Optimization (DCOP) Approach to the Economic Dispatch with Demand Response. AAMAS Ferdinando Fioretto, William Yeoh, Enrico Pontelli, Ye Ma, Satishkumar J. Ranade
2017	—	`conf`	A Multiagent System Approach to Scheduling Devices in Smart Homes. AAAI Workshops Ferdinando Fioretto, William Yeoh, Enrico Pontelli
2017	A	`conf`	A Multiagent System Approach to Scheduling Devices in Smart Homes. AAMAS Ferdinando Fioretto, William Yeoh, Enrico Pontelli
2017	—	`conf`	A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs. AAMAS Workshops (Visionary Papers) William Kluegel, Muhammad A. Iqbal, Ferdinando Fioretto, William Yeoh, Enrico Pontelli
2017	J	`jnl`	A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs. CoRR William Kluegel, Muhammad Aamir Iqbal, Ferdinando Fioretto, William Yeoh, Enrico Pontelli
2017	A	`conf`	Infinite-Horizon Proactive Dynamic DCOPs. AAMAS Khoi D. Hoang, Ping Hou, Ferdinando Fioretto, William Yeoh, Roie Zivan, Makoto Yokoo
2017	A	`conf`	Preference Elicitation for DCOPs. CP Atena M. Tabakhi, Tiep Le, Ferdinando Fioretto, William Yeoh
2017	J	`jnl`	Solving DCOPs with Distributed Large Neighborhood Search. CoRR Ferdinando Fioretto, Agostino Dovier, Enrico Pontelli, William Yeoh, Roie Zivan
2016	A	`conf`	A Dynamic Programming-Based MCMC Framework for Solving DCOPs with GPUs. CP Ferdinando Fioretto, William Yeoh, Enrico Pontelli
2016	J	`jnl`	Accelerating Exact and Approximate Inference for (Distributed) Discrete Optimization with GPUs. CoRR Ferdinando Fioretto, Enrico Pontelli, William Yeoh, Rina Dechter
2016	J	`jnl`	Distributed Constraint Optimization Problems and Applications: A Survey. CoRR Ferdinando Fioretto, Enrico Pontelli, William Yeoh
2016	A	`conf`	ER-DCOPs: A Framework for Distributed Constraint Optimization with Uncertainty in Constraint Utilities. AAMAS Tiep Le, Ferdinando Fioretto, William Yeoh, Tran Cao Son, Enrico Pontelli
2016	—	`—`	Exploiting the Structure of Distributed Constraint Optimization Problems. Ferdinando Fioretto
2016	—	`conf`	Investigation of Learning Strategies for the SPOT Broker in Power TAC. AMEC/TADA Moinul Morshed Porag Chowdhury, Russell Y. Folk, Ferdinando Fioretto, Christopher Kiekintveld, William Yeoh
2016	A*	`conf`	Multi-Variable Agents Decomposition for DCOPs. AAAI Ferdinando Fioretto, William Yeoh, Enrico Pontelli
2016	—	`conf`	Proactive Dynamic DCOPs. AAAI Workshop: AI for Smart Grids and Smart Buildings Khoi D. Hoang, Ferdinando Fioretto, Ping Hou, Makoto Yokoo, William Yeoh, Roie Zivan
2016	A	`conf`	Proactive Dynamic Distributed Constraint Optimization. AAMAS Khoi D. Hoang, Ferdinando Fioretto, Ping Hou, Makoto Yokoo, William Yeoh, Roie Zivan
2015	J	`jnl`	Constrained Community-Based Gene Regulatory Network Inference. ACM Trans. Model. Comput. Simul. Ferdinando Fioretto, Agostino Dovier, Enrico Pontelli
2015	A	`conf`	Exploiting GPUs in Solving (Distributed) Constraint Optimization Problems with Dynamic Programming. CP Ferdinando Fioretto, Tiep Le, Enrico Pontelli, William Yeoh, Tran Cao Son
2015	A*	`conf`	Exploiting the Structure of Distributed Constraint Optimization Problems. AAAI Ferdinando Fioretto
2015	A	`conf`	Exploiting the Structure of Distributed Constraint Optimization Problems. AAMAS Ferdinando Fioretto
2015	A	`conf`	Large Neighborhood Search with Quality Guarantees for Distributed Constraint Optimization Problems. AAMAS Ferdinando Fioretto, Federico Campeotto, Agostino Dovier, Enrico Pontelli, William Yeoh
2015	A	`conf`	Multi-Variable Agents Decomposition for DCOPs to Exploit Multi-Level Parallelism. AAMAS Ferdinando Fioretto, William Yeoh, Enrico Pontelli
2014	A	`conf`	A GPU Implementation of Large Neighborhood Search for Solving Constraint Optimization Problems. ECAI Federico Campeotto, Agostino Dovier, Ferdinando Fioretto, Enrico Pontelli
2014	C	`conf`	Exploring the Use of GPUs in Constraint Solving. PADL Federico Campeotto, Alessandro Dal Palù, Agostino Dovier, Ferdinando Fioretto, Enrico Pontelli
2014	A	`conf`	GD-GIBBS: a GPU-based sampling algorithm for solving distributed constraint optimization problems. AAMAS Ferdinando Fioretto, Federico Campeotto, Luca Da Rin Fioretto, William Yeoh, Enrico Pontelli
2014	A	`conf`	Improving DPOP with Branch Consistency for Solving Distributed Constraint Optimization Problems. CP Ferdinando Fioretto, Tiep Le, William Yeoh, Enrico Pontelli, Tran Cao Son
2013	J	`jnl`	A Constraint Solver for Flexible Protein Model. J. Artif. Intell. Res. Federico Campeotto, Alessandro Dal Palù, Agostino Dovier, Ferdinando Fioretto, Enrico Pontelli
2013	—	`conf`	Constraint Programming in Community-Based Gene Regulatory Network Inference. CMSB Ferdinando Fioretto, Enrico Pontelli
2012	A	`conf`	A Filtering Technique for Fragment Assembly- Based Proteins Loop Modeling with Constraints. CP Federico Campeotto, Alessandro Dal Palù, Agostino Dovier, Ferdinando Fioretto, Enrico Pontelli