One-shot learning of surrogates in PDE-constrained optimization under uncertainty
DOI10.1137/23m1553170zbMATH Open1543.49024MaRDI QIDQ6587616
Claudia Schillings, Philipp A. Guth, Simon Weissmann
Publication date: 14 August 2024
Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)
stochastic gradient descentuncertainty quantificationoptimization under uncertaintyPDE-constrained risk minimizationsurrogate learning
Optimality conditions for problems involving partial differential equations (49K20) Learning and adaptive systems in artificial intelligence (68T05) Boundary value problems for second-order elliptic equations (35J25) Numerical methods based on nonlinear programming (49M37) Stochastic learning and adaptive control (93E35) PDE constrained optimization (numerical aspects) (49M41)
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