Ferdinando Fioretto
Syracuse University
H-index: 24
North America-United States
Top articles of Ferdinando Fioretto
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages | arXiv preprint arXiv:2402.05252 | My H Dinh James Kotary Ferdinando Fioretto | 2024/2/7 |
Disparate Impact on Group Accuracy of Linearization for Private Inference | arXiv preprint arXiv:2402.03629 | Saswat Das Marco Romanelli Ferdinando Fioretto | 2024/2/6 |
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming | arXiv preprint arXiv:2404.00882 | Ethan King James Kotary Ferdinando Fioretto Jan Drgona | 2024/4/1 |
Projected Generative Diffusion Models for Constraint Satisfaction | arXiv preprint arXiv:2402.03559 | Jacob K Christopher Stephen Baek Ferdinando Fioretto | 2024/2/5 |
Finding ε and δ of Traditional Disclosure Control Systems | Proceedings of the AAAI Conference on Artificial Intelligence | Saswat Das Keyu Zhu Christine Task Pascal Van Hentenryck Ferdinando Fioretto | 2024/3/24 |
Finding∈ and δ of Statistical Disclosure Control Systems | Saswat Das Keyu Zhu Pascal Van Hentenryck Christine Task Ferdinando Fioretto | 2024 | |
Learning Constrained Optimization with Deep Augmented Lagrangian Methods | arXiv preprint arXiv:2403.03454 | James Kotary Ferdinando Fioretto | 2024/3/6 |
Data Minimization at Inference Time | Cuong Tran Ferdinando Fioretto | 2024 | |
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty | arXiv preprint arXiv:2402.07772 | My H Dinh James Kotary Ferdinando Fioretto | 2024/2/12 |
Fairness Increases Adversarial Vulnerability | arXiv | Cuong Tran Keyu Zhu Ferdinando Fioretto Pascal Van Henternyck | 2022/11/21 |
Folded optimization for end-to-end model-based learning | IJCAI-23 | James Kotary My H Dinh Ferdinando Fioretto | 2023/1/28 |
Price-Aware Deep Learning for Electricity Markets | Vladimir Dvorkin Ferdinando Fioretto | 2023/8/2 | |
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization | arXiv preprint arXiv:2312.17394 | James Kotary Jacob Christopher My H Dinh Ferdinando Fioretto | 2023/12/28 |
Privacy and Bias Analysis of Disclosure Avoidance Systems | arXiv | Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck Saswat Das Christine Task | 2023/1/28 |
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities | arXiv | Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Victor Bucarey | 2023/7/25 |
On The Fairness Impacts of Hardware Selection in Machine Learning | arXiv preprint arXiv:2312.03886 | Sree Harsha Nelaturu Nishaanth Kanna Ravichandran Cuong Tran Sara Hooker Ferdinando Fioretto | 2023/12/6 |
Differentiable model selection for ensemble learning | James Kotary Francesco Di Vito Ferdinando Fioretto | 2023 | |
Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022 | Awa Dieng Miriam Rateike Golnoosh Farnadi Ferdinando Fioretto Matt Kusner | 2023/6/4 | |
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization | arXiv preprint arXiv:2311.13087 | James Kotary Vincenzo Di Vito Jacob Christopher Pascal Van Hentenryck Ferdinando Fioretto | 2023/11/22 |
Backpropagation of unrolled solvers with folded optimization | arXiv | James Kotary My H Dinh Ferdinando Fioretto | 2023 |
