Thodoris Lykouris

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Daniel FreundMITVerified email at mit.edu
Eva TardosProfessor of Computer Science, Cornell UniversityVerified email at cornell.edu
Sergei VassilvitskiiGoogleVerified email at google.com
Max SimchowitzMITVerified email at andrew.cmu.edu
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteVerified email at ttic.edu
Renato Paes LemeGoogle ResearchVerified email at cs.cornell.edu
Vahab MirrokniGoogle Fellow, VP, Google ResearchVerified email at google.com
Akshay KrishnamurthyUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Siddhartha BanerjeeAssociate Professor, Operations Research, Cornell UniversityVerified email at cornell.edu
Wentao WengEECS, MITVerified email at mit.edu
Wen SunAssistant Professor, Cornell UniversityVerified email at cornell.edu
Aleksandrs SlivkinsSenior Principal Researcher, Microsoft Research NYCVerified email at microsoft.com
Robert SchapireMicrosoft ResearchVerified email at microsoft.com
Dylan J. FosterPrincipal Researcher, Microsoft ResearchVerified email at microsoft.com
Miroslav DudikMicrosoft ResearchVerified email at microsoft.com
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Zhiyuan LiAssistant Professor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Chara PodimataAssistant Professor of OR/Stat, MITVerified email at mit.edu
Vasilis SyrgkanisAssistant Professor, Stanford UniversityVerified email at stanford.edu
Sobhan MiryoosefiPrinceton University | Google ResearchVerified email at google.com

Thodoris Lykouris

MIT

Verified email at mit.edu - Homepage

Machine learning Algorithms Optimization Economics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Competitive caching with machine learned advice T Lykouris, S Vassilvitskii Journal of the ACM (JACM) 68 (4), 1-25, 2021	448	2021
Stochastic bandits robust to adversarial corruptions T Lykouris, V Mirrokni, R Paes Leme Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018	246	2018
Pricing and optimization in shared vehicle systems: An approximation framework S Banerjee, D Freund, T Lykouris Operations Research 70 (3), 1783-1805, 2022	223*	2022
Learning in games: Robustness of fast convergence DJ Foster, Z Li, T Lykouris, K Sridharan, E Tardos Advances In Neural Information Processing Systems, 2016, 2016	134	2016
Corruption robust exploration in episodic reinforcement learning T Lykouris, M Simchowitz, A Slivkins, W Sun arXiv preprint arXiv:1911.08689, 2019	131	2019
Learning and efficiency in games with dynamic population T Lykouris, V Syrgkanis, É Tardos Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete …, 2016	102	2016
Constrained episodic reinforcement learning in concave-convex and knapsack settings K Brantley, M Dudik, T Lykouris, S Miryoosefi, M Simchowitz, A Slivkins, ... Advances in Neural Information Processing Systems 33, 16315-16326, 2020	61	2020
Bayesian decision-making under misspecified priors with applications to meta-learning M Simchowitz, C Tosh, A Krishnamurthy, DJ Hsu, T Lykouris, M Dudik, ... Advances in Neural Information Processing Systems 34, 26382-26394, 2021	59	2021
Small-Loss Bounds for Online Learning with Partial Information T Lykouris, K Sridharan, É Tardos Mathematics of Operations Research 47 (3), 2186-2218, 2022	44*	2022
Advancing subgroup fairness via sleeping experts A Blum, T Lykouris arXiv preprint arXiv:1909.08375, 2019	38	2019
On preserving non-discrimination when combining expert advice A Blum, S Gunasekar, T Lykouris, N Srebro Advances in Neural Information Processing Systems, 8376-8387, 2018	33	2018
Feedback graph regret bounds for Thompson Sampling and UCB T Lykouris, E Tardos, D Wali Algorithmic Learning Theory, 592-614, 2020	31	2020
Learning in Stackelberg Games with Non-myopic Agents N Haghtalab, T Lykouris, S Nietert, A Wei Proceedings of the 23rd ACM Conference on Economics and Computation, 917-918, 2022	27	2022
Static pricing for multi-unit prophet inequalities S Chawla, N Devanur, T Lykouris Operations Research 72 (4), 1388-1399, 2024	26	2024
Contextual search in the presence of adversarial corruptions A Krishnamurthy, T Lykouris, C Podimata, R Schapire Operations Research 71 (4), 1120-1135, 2023	25*	2023
Efficient Decentralized Multi-agent Learning in Asymmetric Bipartite Queueing Systems D Freund, T Lykouris, W Weng Operations Research 72 (3), 1049-1070, 2024	24*	2024
Group fairness in dynamic refugee assignment D Freund, T Lykouris, E Paulson, B Sturt, W Weng arXiv preprint arXiv:2301.10642, 2023	19	2023
Bandits with adversarial scaling T Lykouris, V Mirrokni, RP Leme International Conference on Machine Learning, 6511-6521, 2020	13	2020
Influence maximization in switching-selection threshold models D Fotakis, T Lykouris, E Markakis, S Obraztsova Algorithmic Game Theory: 7th International Symposium, SAGT 2014, Haifa …, 2014	9	2014
Learning to Defer in Content Moderation: The Human-AI Interplay T Lykouris, W Weng arXiv preprint arXiv:2402.12237, 2024	6	2024

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