Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments
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Publication:5071443
DOI10.1137/21M1404363zbMath1493.62460OpenAlexW4223995173MaRDI QIDQ5071443
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Publication date: 21 April 2022
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/21m1404363
stochastic optimizationdesign of experimentsreinforcement learningBayesian inverse problembinary optimization
Computational methods for problems pertaining to statistics (62-08) Optimal statistical designs (62K05) Bayesian inference (62F15) Inverse problems for PDEs (35R30) Stochastic learning and adaptive control (93E35) PDEs in connection with control and optimization (35Q93) PDEs in connection with statistics (35Q62)
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