26 citations · 168 across the 46 of their papers we have counts for
58 papers
Robustness in Mechanism Design
Jason Hartline
The article reviews the robust design and analysis of auctions, focusing on the predominant paradigm in the computer science literature, which quantifies robustness by the worst-ca…
The Economics of No-regret Learning Algorithms
Jason Hartline
A fundamental challenge for modern economics is to understand what happens when actors in an economy are replaced with algorithms. Like rationality has enabled understanding of out…
Truthful Calibration Errors for Multi-Class Prediction
Yuxuan Lu, Yifan Wu, Jason Hartline +1
Calibrated predictions are useful because their numerical values can be interpreted as probabilities. Calibration errors are therefore widely used to evaluate, compare, and tune pr…
A Geometric Analysis of Gains from Trade
Jason Hartline, Kangning Wang
We provide a geometric proof that the random proposer mechanism is a -approximation to the first-best gains from trade in bilateral exchange. We then refine this geometric analy…
Regulation of Algorithmic Collusion, Refined: Testing Pessimistic Calibrated Regret
Jason D. Hartline, Chang Wang, Chenhao Zhang
We study the regulation of algorithmic (non-)collusion amongst sellers in dynamic imperfect price competition by auditing their data as introduced by Hartline et al. [2024]. We dev…
Error-Tolerant E-Discovery Protocols
Jinshuo Dong, Jason D. Hartline, Liren Shan +1
We consider the multi-party classification problem introduced by Dong, Hartline, and Vijayaraghavan (2022) in the context of electronic discovery (e-discovery). Based on a request…