Login / Signup
Distributed Adaptive Sampling for Kernel Matrix Approximation.
Daniele Calandriello
Alessandro Lazaric
Michal Valko
Published in:
AISTATS (2017)
Keyphrases
</>
adaptive sampling
monte carlo
matrix approximation
random sampling
feature space
least squares
support vector
theoretical guarantees
reinforcement learning
pairwise
kernel function
kernel methods
maximum entropy
low rank matrix approximation