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pro vyhledávání: '"Sohn, Jinwon"'
As the data-driven decision process becomes dominating for industrial applications, fairness-aware machine learning arouses great attention in various areas. This work proposes fairness penalties learned by neural networks with a simple random sample
Externí odkaz:
http://arxiv.org/abs/2311.05866
This paper is the first to attempt differentially private (DP) topological data analysis (TDA), producing near-optimal private persistence diagrams. We analyze the sensitivity of persistence diagrams in terms of the bottleneck distance, and we show t
Externí odkaz:
http://arxiv.org/abs/2305.03609
In the analysis of binary longitudinal data, it is of interest to model a dynamic relationship between a response and covariates as a function of time, while also investigating similar patterns of time-dependent interactions. We present a novel gener
Externí odkaz:
http://arxiv.org/abs/2210.10273
Publikováno v:
In Computational Statistics and Data Analysis September 2023 185
Akademický článek
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