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the dataset size without significantly affecting the performance of a model trained on that data, to promote efficient optimization and reduce the computational demands, while at the same time addressing
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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