Bayesian experimental design using regularized determinantal point processes.

Michal Derezinski Feynman T. Liang Michael W. Mahoney

Published in: AISTATS (2020)

Keyphrases

point processes
experimental design
monte carlo
hot spots
active learning
empirical studies
sample size
bayesian networks
feature selection
spatial analysis
experimental designs
image processing
training data
lower bound