Zobrazeno 1 - 10
of 758
pro vyhledávání: '"Chen, YiLing"'
Comparison data elicited from people are fundamental to many machine learning tasks, including reinforcement learning from human feedback for large language models and estimating ranking models. They are typically subjective and not directly verifiab
Externí odkaz:
http://arxiv.org/abs/2410.23243
We propose a new variant of the strategic classification problem: a principal reveals a classifier, and $n$ agents report their (possibly manipulated) features to be classified. Motivated by real-world applications, our model crucially allows the man
Externí odkaz:
http://arxiv.org/abs/2410.08032
Recommender systems serve the dual purpose of presenting relevant content to users and helping content creators reach their target audience. The dual nature of these systems naturally influences both users and creators: users' preferences are affecte
Externí odkaz:
http://arxiv.org/abs/2407.14094
Autor:
Tao, Laifa, Li, Shangyu, Liu, Haifei, Huang, Qixuan, Ma, Liang, Ning, Guoao, Chen, Yiling, Wu, Yunlong, Li, Bin, Zhang, Weiwei, Zhao, Zhengduo, Zhan, Wenchao, Cao, Wenyan, Wang, Chao, Liu, Hongmei, Ma, Jian, Suo, Mingliang, Cheng, Yujie, Ding, Yu, Song, Dengwei, Lu, Chen
Prognosis and Health Management (PHM), critical for ensuring task completion by complex systems and preventing unexpected failures, is widely adopted in aerospace, manufacturing, maritime, rail, energy, etc. However, PHM's development is constrained
Externí odkaz:
http://arxiv.org/abs/2407.03374
Federated Learning (FL) endeavors to harness decentralized data while preserving privacy, facing challenges of performance, scalability, and collaboration. Asynchronous Federated Learning (AFL) methods have emerged as promising alternatives to their
Externí odkaz:
http://arxiv.org/abs/2406.02877
We introduce and study the problem of detecting whether an agent is updating their prior beliefs given new evidence in an optimal way that is Bayesian, or whether they are biased towards their own prior. In our model, biased agents form posterior bel
Externí odkaz:
http://arxiv.org/abs/2405.17694
Autor:
Chen, Yiling, Finocchiaro, Jessie
Analyses of voting algorithms often overlook informational externalities shaping individual votes. For example, pre-polling information often skews voters towards candidates who may not be their top choice, but who they believe would be a worthwhile
Externí odkaz:
http://arxiv.org/abs/2404.07818
Autor:
Zhang, Edwin, Zhao, Sadie, Wang, Tonghan, Hossain, Safwan, Gasztowtt, Henry, Zheng, Stephan, Parkes, David C., Tambe, Milind, Chen, Yiling
Artificial Intelligence (AI) holds promise as a technology that can be used to improve government and economic policy-making. This paper proposes a new research agenda towards this end by introducing Social Environment Design, a general framework for
Externí odkaz:
http://arxiv.org/abs/2402.14090
Autor:
Lin, Tao, Chen, Yiling
Classic principal-agent problems such as Stackelberg games, contract design, and Bayesian persuasion, often assume that the agent is able to best respond to the principal's committed strategy. We study repeated generalized principal-agent problems un
Externí odkaz:
http://arxiv.org/abs/2402.09721
We consider the multi-sender persuasion problem: multiple players with informational advantage signal to convince a single self-interested actor to take certain actions. This problem generalizes the seminal Bayesian Persuasion framework and is ubiqui
Externí odkaz:
http://arxiv.org/abs/2402.04971