Influence Maximization in Switching-Selection Threshold Models. - Dimitris Fotakis 001; Thodoris Lykouris; Evangelos Markakis; Svetlana Obraztsova (SAGT, 2014)

Learning in Games: Robustness of Fast Convergence. - Dylan J. Foster; Zhiyuan Li 005; Thodoris Lykouris; Karthik Sridharan; Éva Tardos (NIPS, 2016)

Learning and Efficiency in Games with Dynamic Population. - Thodoris Lykouris; Vasilis Syrgkanis; Éva Tardos (SODA, 2016)

Multi-objective pricing for shared vehicle systems. - Siddhartha Banerjee; Daniel Freund 001; Thodoris Lykouris (CoRR, 2016)

Fast Convergence of Common Learning Algorithms in Games. - Dylan J. Foster; Zhiyuan Li 005; Thodoris Lykouris; Karthik Sridharan; Éva Tardos (CoRR, 2016)

On preserving non-discrimination when combining expert advice. - Avrim Blum; Suriya Gunasekar; Thodoris Lykouris; Nati Srebro (NeurIPS, 2018)

Stochastic bandits robust to adversarial corruptions. - Thodoris Lykouris; Vahab S. Mirrokni; Renato Paes Leme (STOC, 2018)

Graph regret bounds for Thompson Sampling and UCB. - Thodoris Lykouris; Éva Tardos; Drishti Wali (CoRR, 2019)

Feedback graph regret bounds for Thompson Sampling and UCB. - Thodoris Lykouris; Éva Tardos; Drishti Wali (ALT, 2020)

Bandits with Adversarial Scaling. - Thodoris Lykouris; Vahab S. Mirrokni; Renato Paes Leme (ICML, 2020)

Advancing Subgroup Fairness via Sleeping Experts. - Avrim Blum; Thodoris Lykouris (ITCS, 2020)

Constrained episodic reinforcement learning in concave-convex and knapsack settings. - Kianté Brantley; Miroslav Dudík; Thodoris Lykouris; Sobhan Miryoosefi; Max Simchowitz; Aleksandrs Slivkins; Wen Sun 002 (NeurIPS, 2020)

Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents. - Akshay Krishnamurthy; Thodoris Lykouris; Chara Podimata (CoRR, 2020)

Bayesian decision-making under misspecified priors with applications to meta-learning. - Max Simchowitz; Christopher Tosh; Akshay Krishnamurthy; Daniel J. Hsu; Thodoris Lykouris; Miroslav Dudík; Robert E. Schapire (NeurIPS, 2021)

Contextual search in the presence of irrational agents. - Akshay Krishnamurthy; Thodoris Lykouris; Chara Podimata; Robert E. Schapire (STOC, 2021)

Static Pricing for Multi-unit Prophet Inequalities (Extended Abstract). - Shuchi Chawla 001; Nikhil R. Devanur; Thodoris Lykouris (WINE, 2021)

Competitive Caching with Machine Learned Advice. - Thodoris Lykouris; Sergei Vassilvitskii (J. ACM, 2021)

Efficient decentralized multi-agent learning in asymmetric queuing systems. - Daniel Freund 001; Thodoris Lykouris; Wentao Weng (COLT, 2022)

Learning in Stackelberg Games with Non-myopic Agents. - Nika Haghtalab; Thodoris Lykouris; Sloan Nietert; Alexander Wei 001 (EC, 2022)

Learning in Stackelberg Games with Non-myopic Agents. - Nika Haghtalab; Thodoris Lykouris; Sloan Nietert; Alex Wei (CoRR, 2022)

Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework. - Siddhartha Banerjee; Daniel Freund 001; Thodoris Lykouris (Oper. Res., 2022)

Small-Loss Bounds for Online Learning with Partial Information. - Thodoris Lykouris; Karthik Sridharan; Éva Tardos (Math. Oper. Res., 2022)

Quantifying the Cost of Learning in Queueing Systems. - Daniel Freund 001; Thodoris Lykouris; Wentao Weng (NeurIPS, 2023)

Group fairness in dynamic refugee assignment. - Daniel Freund 001; Thodoris Lykouris; Elisabeth Paulson; Bradley Sturt; Wentao Weng (EC, 2023)

Contextual Search in the Presence of Adversarial Corruptions. - Akshay Krishnamurthy; Thodoris Lykouris; Chara Podimata; Robert E. Schapire (Oper. Res., 2023)

Social Learning with Bounded Rationality: Negative Reviews Persist under Newest First. - Jackie Baek; Atanas Dinev; Thodoris Lykouris (EC, 2024)

Learning to Defer in Content Moderation: The Human-AI Interplay. - Thodoris Lykouris; Wentao Weng (CoRR, 2024)

Efficient Decentralized Multi-agent Learning in Asymmetric Bipartite Queueing Systems. - Daniel Freund 001; Thodoris Lykouris; Wentao Weng (Oper. Res., 2024)

Static Pricing for Multi-unit Prophet Inequalities. - Shuchi Chawla 001; Nikhil R. Devanur; Thodoris Lykouris (Oper. Res., 2024)

Corruption-Robust Exploration in Episodic Reinforcement Learning. - Thodoris Lykouris; Max Simchowitz; Aleksandrs Slivkins; Wen Sun 002 (Math. Oper. Res., 2025)

Scheduling with Uncertain Holding Costs and its Application to Content Moderation. - Caner Gocmen; Thodoris Lykouris; Deeksha Sinha; Wentao Weng (CoRR, 2025)