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 in EECS from National Technical University of Athens in Greece.
I am broadly interested in theoretical computer science, machine learning, and economics. In particular, I am currently working on the interplay between data (learning theory) and incentives (game theory) for adaptive decision making.
My research has been supported by a Google Ph.D. Fellowship and a Cornell University Fellowship.
Cornell University, 336 Gates Hall
107 Hoy Road, Ithaca, NY, 14853
Email: teddlyk at cs dot cornell dot edu
with Sergei Vassilvitskii
The 35th International Conference on Machine Learning (ICML 2018)
with Karthik Sridharan and Éva Tardos
The 31st Annual Conference on Learning Theory (COLT 2018)
with Vahab Mirrokni and Renato Paes Leme
The 50th Annual ACM Symposium on the Theory of Computing (STOC 2018)
with Siddhartha Banerjee and Daniel Freund
The 18th ACM Conference on Economics and Computation (EC 2017)
Finalist in Applied Probability Society Student Paper Competition
with Dylan Foster, Zhiyuan Li, Karthik Sridharan, and Éva Tardos
The 30th Annual Conference on Neural Information Processing Systems (NIPS 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)