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Found 2 papers, 1 papers with code
DIFER: Differentiable Automated Feature Engineering
Extensive experiments on classification and regression datasets demonstrate that DIFER can significantly improve the performance of various machine learning algorithms and outperform current state-of-the-art AutoFE methods in terms of both efficiency and performance.
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization
Bayesian optimization is a broadly applied methodology to optimize the expensive black-box function.
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