acquisition
Data Acquisition via Experimental Design for Data Markets Charles Lu
The acquisition of training data is crucial for machine learning applications.
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Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding
Hajin Shim, Sung Ju Hwang, Eunho Yang
Neural Information Processing Systems http://nips.cc/
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Optimal Scalarizations for Sublinear Hypervolume Regret
To address this, some works have proposed piecewise linear scalar-izations inspired by economics [Busa-Fekete et al., 2017], while for multi-armed bandits, scalarized
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