Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Yang, Jilei"'
Autor:
Negoescu, Diana M., Gonzalez, Humberto, Orjany, Saad Eddin Al, Yang, Jilei, Lut, Yuliia, Tandra, Rahul, Zhang, Xiaowen, Zheng, Xinyi, Douglas, Zach, Nolkha, Vidita, Ahammad, Parvez, Samorodnitsky, Gennady
We introduce Epsilon*, a new privacy metric for measuring the privacy risk of a single model instance prior to, during, or after deployment of privacy mitigation strategies. The metric requires only black-box access to model predictions, does not req
Externí odkaz:
http://arxiv.org/abs/2307.11280
B2B sales requires effective prediction of customer growth, identification of upsell potential, and mitigation of churn risks. LinkedIn sales representatives traditionally relied on intuition and fragmented data signals to assess customer performance
Externí odkaz:
http://arxiv.org/abs/2306.07464
Autor:
Yang, Jilei, Su, Wentao
This paper discusses an application of Shapley values in the causal inference field, specifically on how to select the top confounder variables for coarsened exact matching method in a scalable way. We use a dataset from an observational experiment i
Externí odkaz:
http://arxiv.org/abs/2206.02962
Autor:
Yang, Jilei, Wang, Yixuan, Li, Guoqiang, Wang, Xiaoyan, Lu, Tao, Ding, Weiping, Ou, Xianjiao, Gao, Donglin
Publikováno v:
In Quaternary Geochronology August 2024 83
Autor:
Lin, Xiaohui, Li, Chonghui, Xu, Shicai, Wang, Jihua, Yang, Huanxin, Qu, Yikai, Chen, Qingshuai, Li, Zhenghua, Su, Mengyu, Liu, Guofeng, Liu, Hanping, Yang, Jilei, Lv, Yang, Li, Yang, Wu, Haoyi
Publikováno v:
In Food Chemistry 1 August 2024 448
Autor:
Yang, Jilei
SHAP (SHapley Additive exPlanation) values are one of the leading tools for interpreting machine learning models, with strong theoretical guarantees (consistency, local accuracy) and a wide availability of implementations and use cases. Even though c
Externí odkaz:
http://arxiv.org/abs/2109.09847
Predictive machine learning models often lack interpretability, resulting in low trust from model end users despite having high predictive performance. While many model interpretation approaches return top important features to help interpret model p
Externí odkaz:
http://arxiv.org/abs/2105.12941
Diffusion-weighted magnetic resonance imaging (D-MRI) is an in-vivo and non-invasive imaging technology to probe anatomical architectures of biological samples. The anatomy of white matter fiber tracts in the brain can be revealed to help understandi
Externí odkaz:
http://arxiv.org/abs/1910.07712
Akademický článek
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Autor:
Wang, Yixuan, Li, Guoqiang, Wang, Xiaoyan, Yan, Zhongfeng, Qin, Caixin, Yang, Jilei, Yang, He, Deng, Yanqing, Pan, Long, Chen, Chunzhu, Zhao, Wenwei, Hou, Guangliang
Publikováno v:
In Quaternary Science Reviews 15 December 2022 298