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Distributed Adaptive Sampling for Kernel Matrix Approximation.
Daniele Calandriello
Alessandro Lazaric
Michal Valko
Published in:
CoRR (2018)
Keyphrases
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adaptive sampling
monte carlo
matrix approximation
least squares
support vector
random sampling
kernel function
kernel methods
data sets
reinforcement learning
machine learning
support vector machine
markov chain
approximation error
theoretical guarantees