James Kotary

28 papers A* 6A 3Journal 17Unranked 2
YearRankTypeTitle / 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