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Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction
We study the problem of robust estimation of the mean vector of a sub-Gaussian distribution.
Confidence regions and minimax rates in outlier-robust estimation on the probability simplex
Assuming that the discrete variable takes $k$ values, the unknown parameter $\boldsymbol \theta$ is a $k$-dimensional vector belonging to the probability simplex.
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