Zobrazeno 1 - 10
of 238
pro vyhledávání: '"Hartline, Jason"'
Autor:
Wu, Yifan, Hartline, Jason
Scoring rules evaluate probabilistic forecasts of an unknown state against the realized state and are a fundamental building block in the incentivized elicitation of information and the training of machine learning models. This paper develops mechani
Externí odkaz:
http://arxiv.org/abs/2406.09363
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 allows beyond worst-case analysis of online algorithms. First, we define "
Externí odkaz:
http://arxiv.org/abs/2403.10451
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 demands are below the capacity of the resource. Throughput is the expec
Externí odkaz:
http://arxiv.org/abs/2402.19292
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 for production from the requesting party, the responding party is requ
Externí odkaz:
http://arxiv.org/abs/2401.17952
Forecast aggregation combines the predictions of multiple forecasters to improve accuracy. However, the lack of knowledge about forecasters' information structure hinders optimal aggregation. Given a family of information structures, robust forecast
Externí odkaz:
http://arxiv.org/abs/2401.17743
Publikováno v:
In Proceedings of the Symposium on Computer Science and Law (CSLAW '24). Association for Computing Machinery, New York, NY, USA, 98-108 (2024)
Consider sellers in a competitive market that use algorithms to adapt their prices from data that they collect. In such a context it is plausible that algorithms could arrive at prices that are higher than the competitive prices and this may benefit
Externí odkaz:
http://arxiv.org/abs/2401.15794
Humans frequently make decisions with the aid of artificially intelligent (AI) systems. A common pattern is for the AI to recommend an action to the human who retains control over the final decision. Researchers have identified ensuring that a human
Externí odkaz:
http://arxiv.org/abs/2401.15356
How well people use information displays to make decisions is of primary interest in human-centered AI, model explainability, data visualization, and related areas. However, what constitutes a decision problem, and what is required for a study to est
Externí odkaz:
http://arxiv.org/abs/2401.15106
Data-driven predictions are often perceived as inaccurate in hindsight due to behavioral responses. In this study, we explore the role of interface design choices in shaping individuals' decision-making processes in response to predictions presented
Externí odkaz:
http://arxiv.org/abs/2310.10858
Equilibria in auctions can be very difficult to analyze, beyond the symmetric environments where revenue equivalence renders the analysis straightforward. This paper takes a robust approach to evaluating the equilibria of auctions. Rather than identi
Externí odkaz:
http://arxiv.org/abs/2310.03702