I am a Ph.D. candidate in the Computer Science department of Cornell University, where I am advised by Éva Tardos. Prior to that, I received my Diploma from National Technical University of Athens where I worked under the supervision of Dimitris Fotakis.
My research interests lie at the intersection of the areas of Algorithmic Game Theory, Learning Theory, Optimization, and Information Networks. More specifically, I am interested in settings where strategic entities are interacting with each other. My research focuses on analyzing the performance of such systems and designing incentive schemes in order to improve it.
Cornell University, 336 Gates Hall
107 Hoy Road, Ithaca, NY, 14853
Email: teddlyk at cs dot cornell dot edu
with Siddhartha Banerjee and Daniel Freund
The 18th ACM Conference on Economics and Computation (EC 2017)
with Dylan Foster, Zhiyuan Li, Karthik Sridharan, and Éva Tardos
The 30th Annual Conference on Neural Information Processing Systems (NIPS 2016)
Preliminary version Fast Convergence of Common Learning Algorithms in Games appeared at Ad Auctions 2016
with Vasilis Syrgkanis and Éva Tardos
The 27th ACM-SIAM Symposium on Discrete Algorithms (SODA 2016)
with Dimitris Fotakis, Evangelos Markakis, and Svetlana Obrazstova
The 7th International Symposium on Algorithmic Game Theory (SAGT 2014)