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Derivative-informed projected neural network for large-scale Bayesian optimal experimental design.
Keyi Wu
Thomas O'Leary-Roseberry
Peng Chen
Omar Ghattas
Published in:
CoRR (2022)
Keyphrases
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experimental design
neural network
stochastic dynamic programming
experimental designs
active learning
empirical studies
optimal solution
sample size
worst case
machine learning
support vector
data streams