A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning
- Alexander Zadorojniy
- Takayuki Osogami
- et al.
- 2023
- IJCAI 2023
Bio
Hi, I’m Orit Davidovich. I work at IBM as an applied math research scientist. I spend my days thinking about data-driven optimzation, while experimenting in hands-on ways. I often spend a considerable amount of time thinking about how best to deploy and distribute stuff on a cluster. You can reach me at orit.davidovich at ibm.com
Publications
Optimization with Constraint Learning
- S. Ilker Birbil
- Donato Maragno
- et al.
- 2023
- AAAI 2023
The Good, the Bad, and the Outliers: A Testing Framework for Decision Optimization Model Learning
- Orit Davidovich
- Gheorghe-Teodor Bercea
- et al.
- 2022
- KDD 2022
Addressing Solution Quality in Data-generated Optimization Models
- 2022
- AAAI 2022
Data and Knowledge Driven Optimization Model Generation for Flow Based Optimization Problems
- Dharmashankar Subramanian
- Segev Wasserkrug
- et al.
- 2021
- INFORMS 2021
The Combinatorial Generation of Objective Targets and Constraints for Large-scale Testing of Optimization Routines
- 2021
- FWCG 2021
Ensuring the Quality of Optimization Solutions in Data Generated Optimization Models
- 2021
- IJCAI 2021
Blog posts
DOFramework: A testing framework for decision optimization model learners
Technical noteOrit Davidovich- AI
- AI Testing
- Mathematical Sciences
Top collaborators
PR
Parikshit Ram
Research Staff Member
SW
Segev Wasserkrug
STSM, Decision Optimization and Game Theory Research
PM
Pavankumar Murali
Senior Research Scientist & Master Inventor
LN
Lam M. Nguyen
Staff Research Scientist; Master Inventor