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Discretely Relaxing Continuous Variables for tractable Variational Inference., и . NeurIPS, стр. 10487-10497. (2018)Manifold learning for the emulation of spatial fields from computational models., , , , и . J. Comput. Phys., (2016)Coevolutionary Genetic Adaptation: A New Paradigm for Distributed Multidisciplinary Design Optimization, и . Proceedings of the 40th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, (1999)Weak Form Generalized Hamiltonian Learning., , и . NeurIPS, (2020)Some greedy algorithms for sparse polynomial chaos expansions., , и . J. Comput. Phys., (2019)A Data Parallel Approach for Large-Scale Gaussian Process Modeling., , и . SDM, стр. 95-111. SIAM, (2002)Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)., и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 1416-1425. PMLR, (2018)Some Greedy Algorithms for Sparse Nonlinear Regression., , и . ICML, стр. 369-376. Morgan Kaufmann, (2001)Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design., , , , и . IEEE Congress on Evolutionary Computation, стр. 1856-1863. IEEE, (2003)Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels., , и . J. Mach. Learn. Res., (2002)