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Accelerating Bayesian Optimal Experimental Design with Derivative-Informed Neural Operators.

Jinwoo GoPeng Chen
Published in: CoRR (2023)
Keyphrases
  • experimental design
  • stochastic dynamic programming
  • active learning
  • experimental designs
  • worst case
  • empirical studies
  • feature selection
  • bayesian networks
  • sample size
  • game play
  • machine learning
  • optimal solution