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03/28/2023
A reinforced learning approach to optimal design under model uncertainty
Optimal designs are usually model-dependent and likely to be sub-optimal...
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05/21/2020
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data
Nonuniform subsampling methods are effective to reduce computational bur...
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06/18/2018
Optimal Subsampling Algorithms for Big Data Generalized Linear Models
To fast approximate the maximum likelihood estimator with massive data, ...
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04/25/2018