The Machine Learning and Optimization (MLO) group does research in the intersection of optimization, ML and systems. We are interested in fundamental and practical aspects of data-driven optimization. Our current focus is on two projects:
- OptiGuide (opens in new tab)– Interactive optimization with LLMs
- Cloud efficiency optimization
- VM allocation algorithms OSDI’20, Sigmetrics’21, MLSys’23 (outstanding paper award), ODSI’23, ICML’23
- Cloud infrastructure and supply chain ICALP’23 (opens in new tab), Preprint’23 (opens in new tab)