| Distributed constraint optimization problems and applications: A survey F Fioretto, E Pontelli, W Yeoh JAIR 61, 623--698, 2018 | 264 | 2018 |
| Predicting AC optimal power flows: Combining deep learning and Lagrangian dual methods F Fioretto, TWK Mak, P Van Hentenryck AAAI, 630-637, 2020 | 215 | 2020 |
| End-to-End Constrained Optimization Learning: A Survey J Kotary, F Fioretto, P Van Hentenryck, B Wilder IJCAI, 4475-4482, 2021 | 201 | 2021 |
| A multiagent system approach to scheduling devices in smart homes F Fioretto, W Yeoh, E Pontelli AAMAS, 941--989, 2017 | 95 | 2017 |
| Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach C Tran, F Fioretto, P Van Hentenryck AAAI, 9932-9939, 2021 | 88 | 2021 |
| Lagrangian duality for constrained deep learning F Fioretto, P Van Hentenryck, TWK Mak, C Tran, F Baldo, M Lombardi ECML PKDD, 2020 | 83 | 2020 |
| Differential privacy for power grid obfuscation F Fioretto, TWK Mak, P Van Hentenryck IEEE Transactions on Smart Grid 11 (2), 1356-1366, 2019 | 75 | 2019 |
| A distributed constraint optimization (DCOP) approach to the economic dispatch with demand response F Fioretto, W Yeoh, E Pontelli, Y Ma, SJ Ranade AAMAS, 999-1007, 2017 | 61 | 2017 |
| Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey F Fioretto, C Tran, P Van Hentenryck, K Zhu IJCAI, 5470-5477, 2022 | 59 | 2022 |
| Differentially private empirical risk minimization under the fairness lens C Tran, M Dinh, F Fioretto NeurIPS, 27555-27565, 2021 | 58 | 2021 |
| High-fidelity machine learning approximations of large-scale optimal power flow M Chatzos, F Fioretto, TWK Mak, P Van Hentenryck arXiv, 2020 | 55 | 2020 |
| Privacy-preserving power system obfuscation: A bilevel optimization approach TWK Mak, F Fioretto, L Shi, P Van Hentenryck 🏆 IEEE Transactions on Power Systems 35 (2), 1627-1637, 2019 | 49 | 2019 |
| Bias and variance of post-processing in differential privacy K Zhu, P Van Hentenryck, F Fioretto AAAI, 11177-11184, 2021 | 46 | 2021 |
| Decision Making with Differential Privacy Under the Fairness Lens C Tran, F Fioretto, P Van Hentenryck, Z Yao 🏆 International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 45* | 2021 |
| Proactive dynamic distributed constraint optimization K Hoang, F Fioretto, P Hou, M Yokoo, W Yeoh, R Zivan AAMAS, 2016 | 43 | 2016 |
| Differentially private optimal power flow for distribution grids V Dvorkin, F Fioretto, P Van Hentenryck, P Pinson, J Kazempour 🏆 IEEE Transactions on Power Systems 36 (3), 2186-2196, 2020 | 41 | 2020 |
| Exploring the use of GPUs in constraint solving F Campeotto, A Dal Palu, A Dovier, F Fioretto, E Pontelli PADL, 152-167, 2014 | 38 | 2014 |
| Learning Hard Optimization Problems: A Data Generation Perspective J Kotary, F Fioretto, P Van Hentenryck NeurIPS, 2021 | 37 | 2021 |
| High-frequency oscillatory ventilation attenuates oxidative lung injury in a rabbit model of acute lung injury CF Ronchi, AL dos Anjos Ferreira, FJ Campos, CS Kurokawa, MF Carpi, ... Experimental Biology and Medicine 236 (10), 1188-1196, 2011 | 37 | 2011 |
| Improving DPOP with Branch Consistency for Solving Distributed Constraint Optimization Problems F Fioretto, T Le, W Yeoh, E Pontelli, TC Son CP, 307-323, 2014 | 34 | 2014 |
