Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Zhiwei Steven Wu"'
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 7, Iss 2 (2017)
We present a practical, differentially private algorithm for answering a large number of queries on high dimensional datasets. Like all algorithms for this task, ours necessarily has worst-case complexity exponential in the dimension of the data. How
Externí odkaz:
https://doaj.org/article/8061ee11d63245759d4f0645c1680942
Publikováno v:
Science. 377:928-931
Funding formula reform may help address unequal impacts of uncertainty from data error and privacy protections
Autor:
Satyapriya Krishna, Tessa Han, Alex Gu, Shahin Jabbari, Zhiwei Steven Wu, Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with ea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c402033bef531a9f83a1a6249240fe0
https://doi.org/10.21203/rs.3.rs-2963888/v1
https://doi.org/10.21203/rs.3.rs-2963888/v1
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12154-12162
Food waste and insecurity are two societal challenges that coexist in many parts of the world. A prominent force to combat these issues, food rescue platforms match food donations to organizations that serve underprivileged communities, and then rely
Autor:
Travis Dick, Cynthia Dwork, Michael Kearns, Terrance Liu, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu
Publikováno v:
Proceedings of the National Academy of Sciences. 120
Publikováno v:
EC
We consider a ubiquitous scenario in the Internet economy when individual decision-makers (henceforth, agents) both produce and consume information as they make strategic choices in an uncertain environment. This creates a three-way tradeoff between
Autor:
Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Ken Holstein, Zhiwei Steven Wu, Haiyi Zhu
Child welfare agencies across the United States are turning to data-driven predictive technologies (commonly called predictive analytics) which use government administrative data to assist workers' decision-making. While some prior work has explored
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a92b75a237c57da40c492e1c78cfa5c5
http://arxiv.org/abs/2205.08928
http://arxiv.org/abs/2205.08928
Autor:
Hao-Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
Publikováno v:
EC
We study the problem of a seller dynamically pricing d distinct types of indivisible goods, when faced with the online arrival of unit-demand buyers drawn independently from an unknown distribution. The goods are not in limited supply, but can only b
Autor:
Anna Kawakami, Venkatesh Sivaraman, Hao-Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein
AI-based decision support tools (ADS) are increasingly used to augment human decision-making in high-stakes, social contexts. As public sector agencies begin to adopt ADS, it is critical that we understand workers' experiences with these systems in p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ee0aa48fd30d88a1350d348e12f6b54