Mathematical Sciences
Our long history of research has had an enduring impact on computer science, operations research, and information theory. We’re currently focused on optimization, probability, complexity, geometry of data, as well as linear and multi-linear algebra, to deliver tools that are fundamental to big data and AI.
Our work
DOFramework: A testing framework for decision optimization model learners
Technical noteNew tensor algebra changes the rules of data analysis
ResearchRalph Gomory receives the Vannevar Bush Award: The pioneer of applied math
NewsIBM-Stanford team’s solution of a longstanding problem could greatly boost AI
Research
Publications
- 2023
- APS March Meeting 2023
- 2023
- AAAI 2023
- 2023
- AAAI 2023
- 2023
- AAAI 2023
- 2022
- Big Data 2022
- Distributionally Robust Optimization for Input Model Uncertainty in Simulation-Based Decision Making
- 2022
- WSC 2022