AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work unifies prior approaches through the framework of priority sampling, designing algorithms that establish a smooth tradeoff between the number of MIPS indices and number of retrieved keys and designing algorithms that outperform top-$k and sampling approaches used in prior work and yield attention approximatio...
We study the problem of constructing metric spanners in general metric spaces in subquadratic time when given blackbox access to a fast algorithm for batch approximate nearest neighbor search. In particular, we show the following results for any metric space $\mathsf{M} = ([n], \mathsf{d})$ with aspect ratio $\Delta$ a...
The main contribution is giving an essentially matching lower bound on the space complexity of diameter estimation for a set of points in Euclidean space in the dynamic (turnstile) streaming model.
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