James Kotary

According to our database, James Kotary authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities.

Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto

J. Artif. Intell. Res., 2024

End-to-End Optimization and Learning of Fair Court Schedules.

My H. Dinh, James Kotary, Lauryn P. Gouldin, William Yeoh, Ferdinando Fioretto

CoRR, 2024

Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming.

Ethan King, James Kotary, Ferdinando Fioretto, Ján Drgona

CoRR, 2024

Learning Constrained Optimization with Deep Augmented Lagrangian Methods.

James Kotary, Ferdinando Fioretto

CoRR, 2024

End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty.

My H. Dinh, James Kotary, Ferdinando Fioretto

CoRR, 2024

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages.

My H. Dinh, James Kotary, Ferdinando Fioretto

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Learning Joint Models of Prediction and Optimization.

James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization.

James Kotary, Jacob Christopher, My H. Dinh, Ferdinando Fioretto

CoRR, 2023

Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization.

James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto

CoRR, 2023

Folded Optimization for End-to-End Model-Based Learning.

James Kotary, My H. Dinh, Ferdinando Fioretto

CoRR, 2023

Differentiable Model Selection for Ensemble Learning.

James Kotary, Vincenzo Di Vito, Ferdinando Fioretto

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Backpropagation of Unrolled Solvers with Folded Optimization.

James Kotary, My H. Dinh, Ferdinando Fioretto

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

End-to-End Optimization and Learning for Multiagent Ensembles.

James Kotary, Vincenzo Di Vito, Ferdinando Fioretto

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

End-to-End Learning for Fair Ranking Systems.

James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method.

James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning Hard Optimization Problems: A Data Generation Perspective.

James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

End-to-End Constrained Optimization Learning: A Survey.

James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021