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University of Wisconsin-Madison
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Adaptive estimation of slowly-varying sequences can cut costs by leveraging local variations, achieving a new bound that outperforms traditional methods.
Constant dimension embeddings for directed trees challenge the notion that larger hierarchies always necessitate exponentially larger representations.
