Thodoris Lykouris

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Queueing Systems

Bounded Rationality

Reinforcement Learning

Top Venues

Publications

Jackie Baek, Atanas Dinev, Thodoris Lykouris
Social Learning with Bounded Rationality: Negative Reviews Persist under Newest First. CoRR (2024)
Thodoris Lykouris, Wentao Weng
Learning to Defer in Content Moderation: The Human-AI Interplay. CoRR (2024)
Daniel Freund, Thodoris Lykouris, Wentao Weng
Efficient Decentralized Multi-agent Learning in Asymmetric Bipartite Queueing Systems. Oper. Res. 72 (3) (2024)
Daniel Freund, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt, Wentao Weng
Group fairness in dynamic refugee assignment. EC (2023)
Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, Robert E. Schapire
Contextual Search in the Presence of Adversarial Corruptions. Oper. Res. 71 (4) (2023)
Daniel Freund, Thodoris Lykouris, Wentao Weng
Quantifying the Cost of Learning in Queueing Systems. NeurIPS (2023)
Daniel Freund, Thodoris Lykouris, Wentao Weng
Quantifying the Cost of Learning in Queueing Systems. CoRR (2023)
Daniel Freund, Thodoris Lykouris, Elisabeth Paulson, Bradley Sturt, Wentao Weng
Group fairness in dynamic refugee assignment. CoRR (2023)
Daniel Freund, Thodoris Lykouris, Wentao Weng
Efficient decentralized multi-agent learning in asymmetric queuing systems. COLT (2022)
Nika Haghtalab, Thodoris Lykouris, Sloan Nietert, Alex Wei
Learning in Stackelberg Games with Non-myopic Agents. CoRR (2022)
Daniel Freund, Thodoris Lykouris, Wentao Weng
Efficient decentralized multi-agent learning in asymmetric queuing systems. CoRR (2022)
Thodoris Lykouris, Karthik Sridharan, Éva Tardos
Small-Loss Bounds for Online Learning with Partial Information. Math. Oper. Res. 47 (3) (2022)
Nika Haghtalab, Thodoris Lykouris, Sloan Nietert, Alexander Wei
Learning in Stackelberg Games with Non-myopic Agents. EC (2022)
Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris
Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework. Oper. Res. 70 (3) (2022)
Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel J. Hsu, Thodoris Lykouris, Miroslav Dudík, Robert E. Schapire
Bayesian decision-making under misspecified priors with applications to meta-learning. NeurIPS (2021)
Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata, Robert E. Schapire
Contextual search in the presence of irrational agents. STOC (2021)
Thodoris Lykouris, Sergei Vassilvitskii
Competitive Caching with Machine Learned Advice. J. ACM 68 (4) (2021)
Thodoris Lykouris, Max Simchowitz, Alex Slivkins, Wen Sun
Corruption-robust exploration in episodic reinforcement learning. COLT (2021)
Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu, Thodoris Lykouris, Miroslav Dudík, Robert E. Schapire
Bayesian decision-making under misspecified priors with applications to meta-learning. CoRR (2021)
Shuchi Chawla, Nikhil R. Devanur, Thodoris Lykouris
Static Pricing for Multi-unit Prophet Inequalities (Extended Abstract). WINE (2021)
Shuchi Chawla, Nikhil R. Devanur, Thodoris Lykouris
Static pricing for multi-unit prophet inequalities. CoRR (2020)
Kianté Brantley, Miroslav Dudík, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
Constrained episodic reinforcement learning in concave-convex and knapsack settings. CoRR (2020)
Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata
Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents. CoRR (2020)
Thodoris Lykouris, Vahab S. Mirrokni, Renato Paes Leme
Bandits with Adversarial Scaling. ICML (2020)
Thodoris Lykouris, Vahab S. Mirrokni, Renato Paes Leme
Bandits with adversarial scaling. CoRR (2020)
Kianté Brantley, Miroslav Dudík, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
Constrained episodic reinforcement learning in concave-convex and knapsack settings. NeurIPS (2020)
Thodoris Lykouris, Éva Tardos, Drishti Wali
Feedback graph regret bounds for Thompson Sampling and UCB. ALT (2020)
Avrim Blum, Thodoris Lykouris
Advancing Subgroup Fairness via Sleeping Experts. ITCS (2020)
Thodoris Lykouris, Éva Tardos, Drishti Wali
Graph regret bounds for Thompson Sampling and UCB. CoRR (2019)
Avrim Blum, Thodoris Lykouris
Advancing subgroup fairness via sleeping experts. CoRR (2019)
Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
Corruption Robust Exploration in Episodic Reinforcement Learning. CoRR (2019)
Avrim Blum, Suriya Gunasekar, Thodoris Lykouris, Nati Srebro
On preserving non-discrimination when combining expert advice. NeurIPS (2018)
Thodoris Lykouris, Vahab S. Mirrokni, Renato Paes Leme
Stochastic bandits robust to adversarial corruptions. CoRR (2018)
Thodoris Lykouris, Karthik Sridharan, Éva Tardos
Small-loss bounds for online learning with partial information. COLT (2018)
Avrim Blum, Suriya Gunasekar, Thodoris Lykouris, Nathan Srebro
On preserving non-discrimination when combining expert advice. CoRR (2018)
Thodoris Lykouris, Sergei Vassilvitskii
Competitive caching with machine learned advice. CoRR (2018)
Thodoris Lykouris, Sergei Vassilvitskii
Competitive Caching with Machine Learned Advice. ICML (2018)
Thodoris Lykouris, Vahab S. Mirrokni, Renato Paes Leme
Stochastic bandits robust to adversarial corruptions. STOC (2018)
Thodoris Lykouris, Karthik Sridharan, Éva Tardos
Small-loss bounds for online learning with partial information. CoRR (2017)
Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris
Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework. EC (2017)
Dylan J. Foster, Zhiyuan Li, Thodoris Lykouris, Karthik Sridharan, Éva Tardos
Learning in Games: Robustness of Fast Convergence. NIPS (2016)
Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris
Multi-objective pricing for shared vehicle systems. CoRR (2016)
Thodoris Lykouris, Vasilis Syrgkanis, Éva Tardos
Learning and Efficiency in Games with Dynamic Population. SODA (2016)
Dylan J. Foster, Zhiyuan Li, Thodoris Lykouris, Karthik Sridharan, Éva Tardos
Fast Convergence of Common Learning Algorithms in Games. CoRR (2016)
Thodoris Lykouris, Vasilis Syrgkanis, Éva Tardos
Learning and Efficiency in Games with Dynamic Population. CoRR (2015)
Dimitris Fotakis, Thodoris Lykouris, Evangelos Markakis, Svetlana Obraztsova
Influence Maximization in Switching-Selection Threshold Models. SAGT (2014)