Thodoris Lykouris

According to our database, Thodoris Lykouris authored at least 30 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Static Pricing for Multi-unit Prophet Inequalities.

Shuchi Chawla, Nikhil R. Devanur, Thodoris Lykouris

Oper. Res., 2024

Efficient Decentralized Multi-agent Learning in Asymmetric Bipartite Queueing Systems.

Daniel Freund, Thodoris Lykouris, Wentao Weng

Oper. Res., 2024

Social Learning with Bounded Rationality: Negative Reviews Persist under Newest First.

Jackie Baek, Atanas Dinev, Thodoris Lykouris

CoRR, 2024

Learning to Defer in Content Moderation: The Human-AI Interplay.

Thodoris Lykouris, Wentao Weng

CoRR, 2024

2023

Contextual Search in the Presence of Adversarial Corruptions.

Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, Robert E. Schapire

Oper. Res., July, 2023

Group fairness in dynamic refugee assignment.

Daniel Freund, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt, Wentao Weng

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Quantifying the Cost of Learning in Queueing Systems.

Daniel Freund, Thodoris Lykouris, Wentao Weng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Small-Loss Bounds for Online Learning with Partial Information.

Thodoris Lykouris, Karthik Sridharan, Éva Tardos

Math. Oper. Res., 2022

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

Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris

Oper. Res., 2022

Learning in Stackelberg Games with Non-myopic Agents.

Nika Haghtalab, Thodoris Lykouris, Sloan Nietert, Alex Wei

CoRR, 2022

Learning in Stackelberg Games with Non-myopic Agents.

Nika Haghtalab, Thodoris Lykouris, Sloan Nietert, Alexander Wei

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Efficient decentralized multi-agent learning in asymmetric queuing systems.

Daniel Freund, Thodoris Lykouris, Wentao Weng

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Competitive Caching with Machine Learned Advice.

Thodoris Lykouris, Sergei Vassilvitskii

J. ACM, 2021

Static Pricing for Multi-unit Prophet Inequalities (Extended Abstract).

Shuchi Chawla, Nikhil R. Devanur, Thodoris Lykouris

Proceedings of the Web and Internet Economics - 17th International Conference, 2021

Contextual search in the presence of irrational agents.

Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, Robert E. Schapire

Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Corruption-robust exploration in episodic reinforcement learning.

Thodoris Lykouris, Max Simchowitz, Alex Slivkins, Wen Sun

Proceedings of the Conference on Learning Theory, 2021

2020

Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents.

Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Advancing Subgroup Fairness via Sleeping Experts.

Avrim Blum, Thodoris Lykouris

Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

Bandits with Adversarial Scaling.

Thodoris Lykouris, Vahab S. Mirrokni, Renato Paes Leme

Proceedings of the 37th International Conference on Machine Learning, 2020

Feedback graph regret bounds for Thompson Sampling and UCB.

Thodoris Lykouris, Éva Tardos, Drishti Wali

Proceedings of the Algorithmic Learning Theory, 2020

2019

Graph regret bounds for Thompson Sampling and UCB.

Thodoris Lykouris, Éva Tardos, Drishti Wali

CoRR, 2019

2018

Stochastic bandits robust to adversarial corruptions.

Thodoris Lykouris, Vahab S. Mirrokni, Renato Paes Leme

Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018

On preserving non-discrimination when combining expert advice.

Avrim Blum, Suriya Gunasekar, Thodoris Lykouris, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Fast Convergence of Common Learning Algorithms in Games.

Dylan J. Foster, Zhiyuan Li, Thodoris Lykouris, Karthik Sridharan, Éva Tardos

CoRR, 2016

Multi-objective pricing for shared vehicle systems.

Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris

CoRR, 2016

Learning and Efficiency in Games with Dynamic Population.

Thodoris Lykouris, Vasilis Syrgkanis, Éva Tardos

Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

Learning in Games: Robustness of Fast Convergence.

Dylan J. Foster, Zhiyuan Li, Thodoris Lykouris, Karthik Sridharan, Éva Tardos

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

Influence Maximization in Switching-Selection Threshold Models.

Dimitris Fotakis, Thodoris Lykouris, Evangelos Markakis, Svetlana Obraztsova

Proceedings of the Algorithmic Game Theory - 7th International Symposium, 2014