James Kotary

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 21

Top Topics

Data Generation

Constrained Optimization

Top Venues

Publications

James Kotary, Ferdinando Fioretto
Learning Constrained Optimization with Deep Augmented Lagrangian Methods. CoRR (2024)
Ethan King, James Kotary, Ferdinando Fioretto, Ján Drgona
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming. CoRR (2024)
My H. Dinh, James Kotary, Ferdinando Fioretto
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages. FAccT (2024)
My H. Dinh, James Kotary, Ferdinando Fioretto
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages. CoRR (2024)
My H. Dinh, James Kotary, Ferdinando Fioretto
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty. CoRR (2024)
James Kotary, My H. Dinh, Ferdinando Fioretto
Folded Optimization for End-to-End Model-Based Learning. CoRR (2023)
James Kotary, My H. Dinh, Ferdinando Fioretto
Backpropagation of Unrolled Solvers with Folded Optimization. IJCAI (2023)
James Kotary, Vincenzo Di Vito, Ferdinando Fioretto
Differentiable Model Selection for Ensemble Learning. IJCAI (2023)
James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization. CoRR (2023)
Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities. CoRR (2023)
James Kotary, Vincenzo Di Vito, Ferdinando Fioretto
End-to-End Optimization and Learning for Multiagent Ensembles. AAMAS (2023)
James Kotary, Jacob Christopher, My H. Dinh, Ferdinando Fioretto
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization. CoRR (2023)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. AAAI (2022)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu
End-to-End Learning for Fair Ranking Systems. WWW (2022)
James Kotary, Vincenzo Di Vito, Ferdinando Fioretto
End-to-End Optimization and Learning for Multiagent Ensembles. CoRR (2022)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu
End-to-end Learning for Fair Ranking Systems. CoRR (2021)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder
End-to-End Constrained Optimization Learning: A Survey. CoRR (2021)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder
End-to-End Constrained Optimization Learning: A Survey. IJCAI (2021)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Learning Hard Optimization Problems: A Data Generation Perspective. NeurIPS (2021)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. CoRR (2021)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Learning Hard Optimization Problems: A Data Generation Perspective. CoRR (2021)