James Kotary

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Vincenzo Di Vito

Jacob Christopher

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Differentiable Model Selection for Ensemble Learning.

[BibT_eX]

[DOI]

Vincenzo Di Vito

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

Backpropagation of Unrolled Solvers with Folded Optimization.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Vincenzo Di Vito

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

2022

End-to-End Learning for Fair Ranking Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2021

Learning Hard Optimization Problems: A Data Generation Perspective.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]