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Efficient D-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems
15 references·1 citing·28 second hop
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References

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  • 2014A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized $\ell_0$-Sparsification136 cited
  • 2008Numerical methods for experimental design of large-scale linear ill-posed inverse problems132 cited
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  • 2014GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL DESIGN113 cited
  • 2015On Bayesian A- and D-Optimal Experimental Designs in Infinite Dimensions76 cited
  • 2017Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations

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69 cited
  • 2011Numerical methods for A-optimal designs with a sparsity constraint for ill-posed inverse problems50 cited
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    • 2023A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design33 cited