66 citations · 587 across the 53 of their papers we have counts for
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Hanzhang Hu, Alexander Grubb, J. Andrew Bagnell +1
We consider \textit{anytime} linear prediction in the common machine learning setting, where features are in groups that have costs. We achieve anytime (or interruptible) predictio…