Publications

12 results for Segev Wasserkrug

Heuristics for Combinatorial Optimization via Value-based Reinforcement Learning: A Unified Framework and Analysis
- - Orit Davidovich
  - Shimrit Shtern
  - et al.
- 2025
- arXiv
Paper
Finding Probably Approximate Optimal Solutions by Training to Estimate the Optimal Values of Subproblems
- - Nimrod Megiddo
  - Segev Wasserkrug
  - et al.
- 2025
- arXiv
Paper
Foundation Models and Game Theory
- - Kate Larson
  - Takayuki Osogami
  - et al.
- 2024
- EC 2024
Workshop
Leveraging Large Language Models in Analytics Practice: Opportunities, Challenges and Best Practices
- - Segev Wasserkrug
  - Arnie Greenland
  - et al.
- 2024
- INFORMS Analytics Conference 2024
Talk
Knowledge-Driven Decision Optimization for Non-Experts
- - Yishai A. Feldman
  - Aviad Sela
  - et al.
- 2022
- AAAI 2022
Workshop paper
Addressing Solution Quality in Data-generated Optimization Models
- - Orit Davidovich
  - Parikshit Ram
  - et al.
- 2022
- AAAI 2022
Workshop paper
A Game Theoretic Model for Strategic Coopetition in Business Networks
- - Eitan Farchi
  - Segev Wasserkrug
  - et al.
- 2021
- INFORMS 2021
Talk
Data and Knowledge Driven Optimization Model Generation for Flow Based Optimization Problems
- - Dharmashankar Subramanian
  - Segev Wasserkrug
  - et al.
- 2021
- INFORMS 2021
Talk
Ensuring the Quality of Optimization Solutions in Data Generated Optimization Models
- - Segev Wasserkrug
  - Orit Davidovich
  - et al.
- 2021
- IJCAI 2021
Workshop paper
Learning the Parameters of Bayesian Networks from Uncertain Data
- - Segev Wasserkrug
  - Radu Marinescu
  - et al.
- 2021
- AAAI 2021
Conference paper