"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.

"Competitive Caching with Machine Learned Advice."

Thodoris Lykouris and Sergei Vassilvitskii. In Proceedings of the 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden: July 2018.

"Small-loss Bounds for Online Learning with Partial Information."

Thodoris Lykouris, Karthik Sridharan, and Éva Tardos. In Proceedings of the 31st Annual Conference on Learning Theory, Stockholm, Sweden: July 2018.

"Stochastic Bandits Robust to Adversarial Corruptions."

Thodoris Lykouris, Vahab Mirrokni, and Renato Paes Leme. In Proceedings of the 50th ACM Annual Symposium on Theory of Computing (STOC 2018), New York, NY: June 2018.

"Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework."

Siddhartha Banerjee, Daniel Freund, and Thodoris Lykouris. In Proceedings of the 18th ACM Conference on Economics and Computation (EC 2017), Cambridge, MA: June 2017.

"Learning in Games: Robustness of Fast Convergence."

Dylan Foster, Zhiyuan Li, Thodoris Lykouris, Karthik Sridharan, and Éva Tardos. In Proceedings of the 30th Annual Conference on Neural Information Processing Systems (NeurIPS 2016), Barcelona, Spain: December 2016.

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