February 22, 2020 article Open access Nesterov-aided stochastic gradient methods using Laplace approximation for Bayesian design optimization Computer Methods in Applied Mechanics and Engineering DOI: 10.1016/j.cma.2020.112909 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 32 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Multi-iteration Stochastic Optimizers 2026 Applied Mathematics & Optimization article Computer Science Stochastic Gradient Optimization Techniques Open access 3 citations Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution 2025 SIAM/ASA Journal on Uncertainty Quantification article Decision Sciences Optimal Experimental Design Methods Open access 0 citations Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty 2022 Computer Methods in Applied Mechanics and Engineering article Decision Sciences Optimal Experimental Design Methods Open access 10 citations Multilevel double loop Monte Carlo and stochastic collocation methods with importance sampling for Bayesian optimal experimental design 2020 International Journal for Numerical Methods in Engineering article Decision Sciences Optimal Experimental Design Methods Open access 28 citations 4 results References 0