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Segev Wasserkrug

3 accepted papers

2025

Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization

AAAI 2025technical

Many critical business and societal decisions in areas such as supply chain and healthcare involve numerous potential actions, complex constraints, and goals that can be modeled as objective functions. Mathematical optimization, a core area in Operations Research (OR), provides robust, mathematicall…

2023

Learning Efficient Truthful Mechanisms for Trading Networks

IJCAI 2023poster

Trading networks are an indispensable part of today's economy, but to compete successfully with others, they must be efficient in maximizing the value they provide to the external market. While the prior work relies on truthful disclosure of private information to achieve efficiency, we study the p…

2021

Learning the Parameters of Bayesian Networks from Uncertain Data

AAAI 2021technical

The creation of Bayesian networks often requires the specification of a large number of parameters, making it highly desirable to be able to learn these parameters from historical data. In many cases, such data has uncertainty associated with it, including cases in which this data comes from unstruc…