End-to-End Constrained Optimization Learning: A Survey. - James Kotary; Ferdinando Fioretto; Pascal Van Hentenryck; Bryan Wilder (IJCAI, 2021)

Learning Hard Optimization Problems: A Data Generation Perspective. - James Kotary; Ferdinando Fioretto; Pascal Van Hentenryck (NeurIPS, 2021)

Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. - James Kotary; Ferdinando Fioretto; Pascal Van Hentenryck (AAAI, 2022)

End-to-End Learning for Fair Ranking Systems. - James Kotary; Ferdinando Fioretto; Pascal Van Hentenryck; Ziwei Zhu 001 (WWW, 2022)

End-to-End Optimization and Learning for Multiagent Ensembles. - James Kotary; Vincenzo Di Vito; Ferdinando Fioretto (AAMAS, 2023)

Backpropagation of Unrolled Solvers with Folded Optimization. - James Kotary; My H. Dinh; Ferdinando Fioretto (IJCAI, 2023)

Differentiable Model Selection for Ensemble Learning. - James Kotary; Vincenzo Di Vito; Ferdinando Fioretto (IJCAI, 2023)

Folded Optimization for End-to-End Model-Based Learning. - James Kotary; 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)

Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization. - James Kotary; Jacob Christopher; My H. Dinh; Ferdinando Fioretto (CoRR, 2023)

Metric Learning to Accelerate Convergence of Operator Splitting Methods. - Ethan King; James Kotary; Ferdinando Fioretto; Ján Drgona (CDC, 2024)

Learning Joint Models of Prediction and Optimization. - James Kotary; Vincenzo Di Vito; Jacob Christopher; Pascal Van Hentenryck; Ferdinando Fioretto (ECAI, 2024)

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages. - My H. Dinh; James Kotary; Ferdinando Fioretto (FAccT, 2024)

End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty. - My H. Dinh; James Kotary; Ferdinando Fioretto (UAI, 2024)

Learning Constrained Optimization with Deep Augmented Lagrangian Methods. - James Kotary; 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)

End-to-End Optimization and Learning of Fair Court Schedules. - My H. Dinh; James Kotary; Lauryn P. Gouldin; William Yeoh 001; Ferdinando Fioretto (CoRR, 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)

A Method for Learning to Solve Parametric Bilevel Optimization with Coupling Constraints. - James Kotary; Himanshu Sharma; Ethan King; Draguna L. Vrabie; Ferdinando Fioretto; Ján Drgona (CoRR, 2025)