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Suppose we can sequentially acquire arbitrary linear measurements of an n-dimensional vector x resulting in the linear model y = Ax + z, where z represents measurement noise.
Deux remarques sur l’estimation
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Nonparametric bandits with covariates
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How well can we estimate a sparse vector?
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