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20232026
most citedA Decision Theoretic Framework for Measuring AI Reliance

2 citations · 3 across the 17 of their papers we have counts for

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6 papers · 1 filter

cs.GT2026

Clarification of `Algorithmic Collusion without Threats'

Jason Hartline

This brief note clarifies that the scenario described in Arunachaleswaran et al. (2025) -- titled `Algorithmic Collusion without Threats' -- is not one of collusion, but one where…

cs.GT2025

Scale-robust Auctions

Jason Hartline, Aleck Johnsen, Yingkai Li

We study auctions that are robust at any scale, i.e., they can be applied to sell both expensive and cheap items and achieve the best multiplicative approximation of the optimal re…

cs.GT2025

Behavioral Study of Dashboard Mechanisms

Paula Kayongo, Jessica Hullman, Jason Hartline

Visualization dashboards are increasingly used in strategic settings like auctions to enhance decision-making and reduce strategic confusion. This paper presents behavioral experim…

cs.GT2024

Subgame Optimal and Prior-Independent Online Algorithms

Jason Hartline, Aleck Johnsen, Anant Shah

This paper takes a game theoretic approach to the design and analysis of online algorithms and illustrates the approach on the finite-horizon ski-rental problem. This approach allo…

cs.GT2024

Fundamental Limits of Throughput and Availability: Applications to prophet inequalities & transaction fee mechanism design

Aadityan Ganesh, Jason Hartline, Atanu R Sinha +1

This paper studies the fundamental limits of availability and throughput for independent and heterogeneous demands of a limited resource. Availability is the probability that the d…

cs.GT2023★ 1 cited

Extension of Minimax for Algorithmic Lower Bounds

Jason Hartline, Aleck Johnsen

This paper considers the use of Yao's Minimax Theorem in robust algorithm design, e.g., for online algorithms, where the algorithm designer aims to minimize the ratio of the algori…