Professor, Department of Electrical Engineering and Computer Science; Co-Director, Operations Research Center
Patrick Jaillet is the Dugald C. Jackson Professor in MIT’s Department of Electrical Engineering and Computer Science, and co-director of the Operations Research Center at the MIT Sloan School of Management. His research interests include machine learning, online optimization and learning, and decision-making under uncertainty. His consulting work has included developing optimization-based analytic solutions in the defense, financial, and information technology industries. He is currently an associate editor for INFORMS Journal on Optimization, Networks, and Naval Research Logistics. He is a fellow of the Institute for Operations Research and Management Science (INFORMS) and has received MIT’s Ruth and Joel Spira Award for Excellence in Teaching. He earned a PhD in operations research from MIT.
- Dai, Z., Chen, Y., Low, K. H., Jaillet, P., Ho, T-H. (2020). R2-B2: Recursive reasoning-based Bayesian optimization for no-regret learning in games. 37th International Conference on Machine Learning (ICML).
- Lowalekar, M., Varakantham, P., Jaillet, P. (2020). Competitive Ratios for Online Multi-capacity Ridesharing. Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems.
Hwang, D., P. Jaillet, and V. Manshadi. (2020). Online Resource Allocation under Partially Predictable Demand. Operations Research.
Yu, H., Y. Chen, Z. Dai, K.H. Low, and P. Jaillet. (2019). Implicit Posterior Variational Inference for Deep Gaussian Processes. Spotlight, 33rd Annual Conference on Neural Information Processing Systems (NeurIPS).
- July 17, 2020: MIT News, Faculty receive funding to develop artificial intelligence techniques to combat Covid-19.
- June 24, 2020: MIT LIDS News, LIDS PIs represent MIT in team awarded funding from U.S. Department of Energy’s ARPA-E for transformational energy technology.
- March 7, 2019: MIT News, Combining artificial intelligence with their passions.