Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling.

David P. Woodruff Amir Zandieh

Published in: ICML (2020)

Keyphrases

adaptive sampling
monte carlo
random sampling
vector space
high dimensional
kernel function
dimensionality reduction
kernel methods
data sets
neural network
support vector
active learning
low dimensional
sparse representation
genetic algorithm
training data