Operations Management for AI
The AI lifecycle of data, training, deployment, and governance are operational problems. We study these problems by leveraging techniques from operations management.
Relevant publications
- Routing, cascades, and user choice for large language models International Conference on Learning Representations (ICLR) 2026
- Optimizing data collection for machine learning Journal of Machine Learning Research 2025 arXiv Project Page
Preliminary version appeared in NeurIPS 2022.
- Pricing and competition for generative AI Advances in Neural Information Processing Systems (NeurIPS) 2024 arXiv