Patrick Jaillet

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.

Publications

• 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).

Media

• 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.