Ideas Made to Matter
4 researchers join MIT Sloan faculty
Research topics include analyzing firm behavior, data-driven sequential decision-making, inequality and worker power, and renewable energy integration.
Jul 7, 2021
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Thodoris Lykouris
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Thodoris Lykouris is the Mitsui Career Development Assistant Professor and an Assistant Professor of Operations Management at the MIT Sloan School of Management.
His research focuses on data-driven sequential decision-making and spans across the areas of machine learning, dynamic optimization, and economics. Prior to his current position, he was a postdoctoral researcher at Microsoft Research NYC where he was part of the machine learning group.
His dissertation was selected as a finalist in the Dantzig dissertation award competition. His papers have also been selected as finalists in the INFORMS Nicholson and Applied Probability Society best student paper competitions. He is also the recipient of a Google Ph.D. Fellowship and a Cornell University Fellowship.
Thodoris holds a Diploma in electrical and computer engineering from National Technical University of Athens (Greece) and a PhD in computer science from Cornell University, where he was advised by Éva Tardos.
Publications
"Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework."
Banerjee, Siddhartha, Daniel Freund, and Thodoris Lykouris. Operations Research. Forthcoming. Video. arXiv Preprint.
"Small-loss Bounds for Online Learning with Partial Information."
Lykouris, Thodoris, Karthik Sridharan, and Éva Tardos. Mathematics of Operations Research. Forthcoming. arXiv Preprint. Video.
"Bayesian Decision-making Under Misspecified Priors with Applications to Meta-learning."
Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu, Thodoris Lykouris, Miroslav Dudík, and Robert Schapire. In Proceedings of the 35th Conference on Neural Information Processing Systems, NeurIPS 2021, December 2021.
"Static Pricing for Multi-unit Prophet Inequalities."
Thodoris Lykouris, Shuchi Chawla, and Nikhil Devanur. In Proceedings of the 17th Conference on Web and Internet Economics (WINE 2021), Potsdam, Germany: December 2021.
"Competitive Caching with Machine Learned Advice."
Lykouris, Thodoris and Sergei Vassilvitskii. Journal of the ACM Vol. 68, No. 4 (2021): 1-25. Video.
"Corruption-robust Exploration in Episodic Reinforcement Learning."
Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, and Wen Sun. In In 34th Annual Conference on Learning Theory (COLT 2021), August 2021.
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