Learning the Parameters of Bayesian Networks from Uncertain Data
- Segev Wasserkrug
- Radu Marinescu
- et al.
- 2021
- AAAI 2021
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10 results for Segev Wasserkrug
Knowledge-Driven Decision Optimization for Non-Experts
- Yishai A. Feldman
- Aviad Sela
- et al.
- 2022
- AAAI 2022
Addressing Solution Quality in Data-generated Optimization Models
- 2022
- AAAI 2022
Leveraging Large Language Models in Analytics Practice: Opportunities, Challenges and Best Practices
- Segev Wasserkrug
- Arnie Greenland
- et al.
- 2024
- INFORMS Analytics Conference 2024
A Game Theoretic Model for Strategic Coopetition in Business Networks
- Eitan Farchi
- Segev Wasserkrug
- et al.
- 2021
- INFORMS 2021
Data and Knowledge Driven Optimization Model Generation for Flow Based Optimization Problems
- Dharmashankar Subramanian
- Segev Wasserkrug
- et al.
- 2021
- INFORMS 2021
MDP Graph-based Intermediate Model for DRL Training
- Alexander Zadorojniy
- Segev Wasserkrug
- 2020
- INFORMS 2020
Automated Derivation Of MDP And Reinforcement Learning Models From Historical Data
- Segev Wasserkrug
- Alexander Zadorojniy
- et al.
- 2020
- INFORMS 2020
Ensuring the Quality of Optimization Solutions in Data Generated Optimization Models
- 2021
- IJCAI 2021
Foundation Models and Game Theory
- Kate Larson
- Takayuki Osogami
- et al.
- 2024
- EC 2024