Thodoris Lykouris
Thodoris Lykouris
Microsoft Research
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Pricing and optimization in shared vehicle systems: An approximation framework
S Banerjee, D Freund, T Lykouris
Proceedings of the Eighteenth ACM Conference on Economics and Computation, 2016
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
Learning and efficiency in games with dynamic population
T Lykouris, V Syrgkanis, … Tardos
Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete†…, 2016
Competitive caching with machine learned advice
T Lykouris, S Vassilvitskii
arXiv preprint arXiv:1802.05399, 2018
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
Small-loss bounds for online learning with partial information
T Lykouris, K Sridharan, E Tardos
arXiv preprint arXiv:1711.03639, 2017
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
Influence maximization in switching-selection threshold models
D Fotakis, T Lykouris, E Markakis, S Obraztsova
International Symposium on Algorithmic Game Theory, 122-133, 2014
Corruption robust exploration in episodic reinforcement learning
T Lykouris, M Simchowitz, A Slivkins, W Sun
arXiv preprint arXiv:1911.08689, 2019
Corrupted multidimensional binary search: Learning in the presence of irrational agents
A Krishnamurthy, T Lykouris, C Podimata
arXiv preprint arXiv:2002.11650, 2020
Feedback graph regret bounds for Thompson Sampling and UCB
T Lykouris, E Tardos, D Wali
Algorithmic Learning Theory, 592-614, 2020
Bandits with adversarial scaling
T Lykouris, V Mirrokni, RP Leme
arXiv preprint arXiv:2003.02287, 2020
Advancing subgroup fairness via sleeping experts
A Blum, T Lykouris
arXiv preprint arXiv:1909.08375, 2019
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