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Large-Scale Bayesian Optimal Experimental Design with Derivative-Informed Projected Neural Network.

Keyi WuThomas O'Leary-RoseberryPeng ChenOmar Ghattas
Published in: J. Sci. Comput. (2023)
Keyphrases
  • experimental design
  • neural network
  • stochastic dynamic programming
  • active learning
  • empirical studies
  • experimental designs
  • bayesian networks
  • sample size
  • optimal solution
  • data streams
  • worst case
  • class imbalance