Thodoris Lykouris

Faculty

Thodoris Lykouris

About

Thodoris Lykouris is 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, optimization, stochastic models, and revenue management. 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. arXiv Preprint.

"Constrained Episodic Reinforcement Learning in Concave-convex and Knapsack Settings."

Kianté Brantley, Miroslav Dudik, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, and Wen Sun. In Proceedings of the 34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020), San Diego, CA: December 2020.

"Bandits with Adversarial Scaling."

Thodoris Lykouris, Vahab Mirrokni, and Renato Paes Leme. In Proceedings of the 37th International Conference on Machine Learning (ICML 2020), San Diego, CA: July 2020.

"Feedback Graph Regret Bounds for Thompson Sampling and UCB."

Thodoris Lykouris, Éva Tardos, and Drishti Wali. In Proceedings of the 31st International Conference on Algorithmic Learning Theory (ALT 2020), San Diego, CA: February 2020.

"Advancing Subgroup Fairness via Sleeping Experts."

Avrim Blum and Thodoris Lykouris. In Proceedings of the 11th Innovations in Theoretical Computer Science Conference (ITCS 2020), Seattle, WA: January 2020.

"On Preserving Non-discrimination when Combining Expert Advice."

Avrim Blum, Suriya Gunasekar, Thodoris Lykouris, and Nathan Srebro. In Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, Canada: December 2018.

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