| Nesterov-aided stochastic gradient methods using Laplace approximation for Bayesian design optimization AG Carlon, BM Dia, L Espath, RH Lopez, R Tempone Computer Methods in Applied Mechanics and Engineering 363, 112909, 2020 | 35 | 2020 |
| A stochastic gradient approach for the reliability maximization of passively controlled structures AG Carlon, RH Lopez, LFR Espath, LFF Miguel, AT Beck Engineering Structures 186, 1-12, 2019 | 26 | 2019 |
| A state estimation approach based on stochastic expansions RH Lopez, JES Cursi, AG Carlon Computational and Applied Mathematics 37, 3399-3430, 2018 | 7 | 2018 |
| Risk optimization using the Chernoff bound and stochastic gradient descent AG Carlon, HM Kroetz, AJ Torii, RH Lopez, LFF Miguel Reliability Engineering & System Safety 223, 108512, 2022 | 6 | 2022 |
| Multi-iteration stochastic optimizers A Carlon, L Espath, R Lopez, R Tempone arXiv preprint arXiv:2011.01718, 2020 | 4 | 2020 |
| A polynomial chaos efficient global optimization approach for Bayesian optimal experimental design AG Carlon, CDCD Maia, RH Lopez, AJ Torii, LFF Miguel Probabilistic Engineering Mechanics 72, 103454, 2023 | 2 | 2023 |
| Double-loop quasi-Monte Carlo estimator for nested integration A Bartuska, AG Carlon, L Espath, S Krumscheid, R Tempone arXiv preprint arXiv:2302.14119, 2023 | 1 | 2023 |
| Stochastic gradient descent for risk optimization AG Carlon, AJ Torii, RH Lopez, JES de Cursi Proceedings of the 5th International Symposium on Uncertainty Quantification …, 2021 | 1 | 2021 |
| Desenvolvimento de um novo operador para algoritmos metaheurísticos baseado na maximização da rigidez aplicado à otimização de estruturas treliçadas AG Carlon | 1 | 2015 |
| A stochastic gradient descent approach for risk optimization using the Chernoff bound LFFM Andre G. Carlon, Henrique M. Kroetz, Andre J. Torii, Rafael H. Lopez XLIII Ibero-Latin-American Congress on Computational Methods in Engineering …, 2022 | | 2022 |
| Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization AG Carlon, L Espath, R Tempone arXiv, 2022 | | 2022 |
| Bayesian-based optimization of experiments using stochastic gradient methods AG Carlon | | 2019 |
| A New Approach for State Estimation ES de Cursi, RH Lopez, AG Carlon Uncertainty Modeling for Engineering Applications, 41-54, 2019 | | 2019 |
| Stochastic Optimization for Design of Experiments AG Carlon, RH Lopez, L Espath SWGE Sistemas, 2017 | | 2017 |
| A stochastic gradient descent approach for risk optimization using the Cher-noff bound AG Carlon, HM Kroetz, AJ Torii, RH Lopez, LFF Miguel | | |
| State estimation based on stochastic polynomials and variational ap-proximation RH Lopez, JES Cursi, AG Carlon | | |
| Bayesian optimization of experiments using stochastic gradient methods AG Carlon | | |
| A stochastic gradient descent algorithm for robust design RH Lopez, R Sampaio, ES de Cursi, A Carlon, LF Miguel | | |
Rafael Holdorf LopezUniversidade Federal de Santa CatarinaVerified email at ufsc.br
