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Differential privacy imposes fundamental limits on language *identification*, even when it doesn't preclude language *generation*, revealing a surprising divergence in their privacy costs.
Solved: the precise conditions for efficiently estimating a Gaussian mean from coarse, partitioned data, closing a key gap in our understanding of learning from limited information.
