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 George B. Dantzig Dissertation Award competition. His papers have also been selected as finalists in the INFORMS Junior Faculty Interest Group paper competition as well as the INFORMS Nicholson and Applied Probability Society best student paper competitions. He is also the recipient of a Google PhD 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
"Corruption-Robust Exploration in Episodic Reinforcement Learning."
Lykouris, Thodoris, Max Simchowitz, Aleksandrs Slivkins, and Wen Sun. Mathematics of Operations Research. Forthcoming. arXiv Preprint.
"Static Pricing for Multi-unit Prophet Inequalities."
Chawla, Shuchi, Nikhil Devanur, and Thodoris Lykouris. Operations Research Vol. 72, No. 4 (2024): 1388-1399. arXiv Preprint.
"Efficient Decentralized Multi-agent Learning in Asymmetric Bipartite Queueing Systems."
Freund, Daniel, Thodoris Lykouris, and Wentao Weng. Operations Research Vol. 72, No. 3 (2024): 1049-1070. arXiv Preprint.
"Contextual Search in the Presence of Adversarial Corruptions."
Krishnamurthy, Akshay, Thodoris Lykouris, Chara Podimata, and Robert Schapire. Operations Research Vol. 71, No. 4 (2023): 1120-1135. Supplementary Materials. arXiv Preprint.
"Small-loss Bounds for Online Learning with Partial Information."
Lykouris, Thodoris, Karthik Sridharan, and Éva Tardos. Mathematics of Operations Research Vol. 47, No. 3 (2022): 2186-2218. arXiv Preprint. Video.
"Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework."
Banerjee, Siddhartha, Daniel Freund, and Thodoris Lykouris. Operations Research Vol. 70, No. 3 (2022): 1783-1805. Video. arXiv Preprint.
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