Recursive Sampling for the Nystrom Method

Cameron Musco, Christopher Musco

Neural Information Processing Systems 

We give the first algorithm for kernel Nyström approximation that runs in linear time in the number of training points and is provably accurate for all kernel matrices, without dependence on regularity or incoherence conditions.

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