James Kotary - RankMe

28 papers A* 6A 3Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
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
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	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`	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`	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
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`	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`	Folded Optimization for End-to-End Model-Based Learning. CoRR James Kotary, My H. Dinh, 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
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	A*	`conf`	Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. AAAI James Kotary, 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