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| 2021-08-20 | Identifying material parameters in crystal plasticity by Bayesian optimization | Optimization and Engineering | Jannick Kuhn, Jonathan Spitz, Petra Sonnweber–Ribic et al. | 71 | cites it |
| 2018-03-01 | Regression with small data sets: a case study using code surrogates in additive manufacturing | Knowledge and Information Systems | Chandrika Kamath, Ya Ju Fan | 40 | cites it |
| 2018-02-24 | Reward estimation for dialogue policy optimisation | Computer Speech & Language | Pei-Hao Su, Milica Gašić, S.J. Young | 18 | cites it |
| 2020-09-01 | Skew Gaussian processes for classification | Machine Learning | Alessio Benavoli, Dario Azzimonti, Dario Piga | 18 | cites it |
| 2020-10-16 | A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression | Neural Computing and Applications | Paulino José García Nieto, Esperanza García–Gonzalo, José P. Paredes–Sánchez et al. | 16 | cites it |
| 2022-01-19 | A robust approach to warped Gaussian process-constrained optimization | Mathematical Programming | Johannes Wiebe, I. Cecílio, J. Dunlop et al. | 15 | cites it |
| 2019-02-21 | Antithetic and Monte Carlo kernel estimators for partial rankings | Statistics and Computing | María Lomelí, Mark Rowland, Arthur Gretton et al. | 13 | cites it |
| 2022-02-19 | Bayesian mixture of gaussian processes for data association problem | Pattern Recognition | Younghwan Jeon, Ganguk Hwang | 13 | cites it |
| 2023-01-25 | Correlated product of experts for sparse Gaussian process regression | Machine Learning | Manuel Schürch, Dario Azzimonti, Alessio Benavoli et al. | 11 | cites it |
| 2021-12-21 | ROmodel: modeling robust optimization problems in Pyomo | Optimization and Engineering | Johannes Wiebe, Ruth Misener | 9 | cites it |
| 2021-09-13 | A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes | Machine Learning | Alessio Benavoli, Dario Azzimonti, Dario Piga | 8 | cites it |
| 2021-04-20 | Bayesian optimization for a multiple-component system with target values | Computers & Industrial Engineering | Jihwan Jeong, Hayong Shin | 7 | cites it |
| 2024-01-08 | Fast deep mixtures of Gaussian process experts | Machine Learning | Clement Etienam, Kody J. H. Law, Sara Wade et al. | 7 | cites it |
| 2018-07-06 | Stochastic variational hierarchical mixture of sparse Gaussian processes for regression | Machine Learning | Thi Nhat Anh Nguyen, Abdesselam Bouzerdoum, Son Lam Phung | 5 | cites it |
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