James Kotary

I am a PhD candidate at Syracuse, where I am interested in integrating constrained optimization and machine learning models to enable new functionality in AI. Lately, my research has focused on learning fast approximations to hard optimization problems, and using constrained optimization as component in neural networks to learn data-driven optimal decision making. My research advisor is the great Ferdinando Fioretto.

Recent Publications:

• James Kotary, My H Dinh, Ferdinando Fioretto. Folded Optimization for End-to-End Model-Based Learning. IJCAI 2023.
• James Kotary, Vincenzo Di Vito, Ferdinando Fioretto. End-to-End Combinatorial Ensemble Learning. IJCAI 2023.
• James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu. End-to-End Learning for Fair Ranking Systems. WWW 2022.
• 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. Learning Hard Optimization Problems: A Data Generation Perspective. NIPS 2021.
• James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder. End-to-End Constrained Optimization Learning: A Survey. IJCAI 2021 (Survey Track).

Contact:

jkotary@syr.edu