"Contextual Search in the Presence of Irrational Agents."

Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, and Robert Schapire. In 53rd Annual ACM Symposium on the Theory of Computing (STOC 2021), New York, NY: June 2021.

"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.

"Effective Online Decision-making in Complex Multi-agent Systems."

Lykouris, Thodoris. PhD diss., Cornell University, 2019.