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Hyperparameters tuning and model selection are important steps in machine learning.
Estimation of the mean of a multivariate normal distribution
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Alexandre B. Tsybakov · 2003
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Optimal aggregation of classifiers in statistical learning
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Information theory and mixing least-squares regressions
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Mapreduce: simplified data processing on large clusters
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A new method for estimation and model selection:
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Estimation of high-dimensional mean regression in absence of symmetry and light-tail assumptions
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