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2020 – today
- 2024
[j1]Jayanta Mandi
, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto:
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities. J. Artif. Intell. Res. 80: 1623-1701 (2024)- [c9]James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto:
Learning Joint Models of Prediction and Optimization. ECAI 2024: 2476-2483 - [c8]My H. Dinh, James Kotary, Ferdinando Fioretto:
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages. FAccT 2024: 2508-2517 - [i14]My H. Dinh, James Kotary, Ferdinando Fioretto:
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages. CoRR abs/2402.05252 (2024) - [i13]My H. Dinh, James Kotary, Ferdinando Fioretto:
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty. CoRR abs/2402.07772 (2024) - [i12]James Kotary, Ferdinando Fioretto:
Learning Constrained Optimization with Deep Augmented Lagrangian Methods. CoRR abs/2403.03454 (2024) - [i11]Ethan King, James Kotary, Ferdinando Fioretto, Ján Drgona:
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming. CoRR abs/2404.00882 (2024) - [i10]James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto:
Learning Joint Models of Prediction and Optimization. CoRR abs/2409.04898 (2024) - 2023
- [c7]James Kotary, Vincenzo Di Vito, Ferdinando Fioretto:
End-to-End Optimization and Learning for Multiagent Ensembles. AAMAS 2023: 2613-2615 - [c6]James Kotary, Vincenzo Di Vito, Ferdinando Fioretto:
Differentiable Model Selection for Ensemble Learning. IJCAI 2023: 1954-1962 - [c5]James Kotary, My H. Dinh, Ferdinando Fioretto:
Backpropagation of Unrolled Solvers with Folded Optimization. IJCAI 2023: 1963-1970 - [i9]James Kotary, My H. Dinh, Ferdinando Fioretto:
Folded Optimization for End-to-End Model-Based Learning. CoRR abs/2301.12047 (2023) - [i8]Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto:
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities. CoRR abs/2307.13565 (2023) - [i7]James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto:
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization. CoRR abs/2311.13087 (2023) - [i6]James Kotary, Jacob Christopher, My H. Dinh, Ferdinando Fioretto:
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization. CoRR abs/2312.17394 (2023) - 2022
- [c4]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck:
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. AAAI 2022: 7239-7246 - [c3]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu:
End-to-End Learning for Fair Ranking Systems. WWW 2022: 3520-3530 - [i5]James Kotary, Vincenzo Di Vito, Ferdinando Fioretto:
End-to-End Optimization and Learning for Multiagent Ensembles. CoRR abs/2211.00251 (2022) - 2021
- [c2]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder:
End-to-End Constrained Optimization Learning: A Survey. IJCAI 2021: 4475-4482 - [c1]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck:
Learning Hard Optimization Problems: A Data Generation Perspective. NeurIPS 2021: 24981-24992 - [i4]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder:
End-to-End Constrained Optimization Learning: A Survey. CoRR abs/2103.16378 (2021) - [i3]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck:
Learning Hard Optimization Problems: A Data Generation Perspective. CoRR abs/2106.02601 (2021) - [i2]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck:
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. CoRR abs/2110.06365 (2021) - [i1]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu:
End-to-end Learning for Fair Ranking Systems. CoRR abs/2111.10723 (2021)
Coauthor Index
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