44 citations · 128 across the 20 of their papers we have counts for
8 papers · 1 filter
Human-AI Productivity Paradoxes: Modeling the Interplay of Skill, Effort, and AI Assistance
Ali Aouad, Thodoris Lykouris, Huiying Zhong
Generative Artificial Intelligence (AI) tools are rapidly adopted in the workplace and in education, yet the empirical evidence on AI's impact remains mixed across different operat…
Social Learning with Limited Attention: Negative Reviews Persist under Newest First
Jackie Baek, Atanas Dinev, Thodoris Lykouris
We study a model of social learning from reviews where customers are computationally limited and make purchases based on reading only the first few reviews displayed by the platfor…
Group fairness in dynamic refugee assignment
Daniel Freund, Thodoris Lykouris, Elisabeth Paulson +2
Ensuring that refugees and asylum seekers thrive (e.g., find employment) in their host countries is a profound humanitarian goal, and a primary driver of employment is the geograph…
Learning in Stackelberg Games with Non-myopic Agents
Nika Haghtalab, Thodoris Lykouris, Sloan Nietert +1
We study Stackelberg games where a principal repeatedly interacts with a non-myopic long-lived agent, without knowing the agent's payoff function. Although learning in Stackelberg…
Static pricing for multi-unit prophet inequalities
Shuchi Chawla, Nikhil Devanur, Thodoris Lykouris
We study a pricing problem where a seller has identical copies of a product, buyers arrive sequentially, and the seller prices the items aiming to maximize social welfare. When…
Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework
Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris
Optimizing shared vehicle systems (bike/scooter/car/ride-sharing) is more challenging compared to traditional resource allocation settings due to the presence of \emph{complex netw…
Learning in Games: Robustness of Fast Convergence
Dylan J. Foster, Zhiyuan Li, Thodoris Lykouris +2
We show that learning algorithms satisfying a property experience fast convergence to approximate optimality in a large class of repeated games. O…
Learning and Efficiency in Games with Dynamic Population
Thodoris Lykouris, Vasilis Syrgkanis, Eva Tardos
We study the quality of outcomes in repeated games when the population of players is dynamically changing and participants use learning algorithms to adapt to the changing environm…