| Bayesian optimization of pump operations in water distribution systems A Candelieri, R Perego, F Archetti Journal of Global Optimization 71 (1), 213-235, 2018 | 101 | 2018 |
| Hyperparameter optimization for recommender systems through Bayesian optimization BG Galuzzi, I Giordani, A Candelieri, R Perego, F Archetti Computational Management Science 17, 495-515, 2020 | 41 | 2020 |
| Safe global optimization of expensive noisy black-box functions in the -Lipschitz framework YD Sergeyev, A Candelieri, DE Kvasov, R Perego Soft Computing 24 (23), 17715-17735, 2020 | 36 | 2020 |
| Green machine learning via augmented Gaussian processes and multi-information source optimization A Candelieri, R Perego, F Archetti Soft Computing 25 (19), 12591-12603, 2021 | 24 | 2021 |
| Tuning deep neural network’s hyperparameters constrained to deployability on tiny systems R Perego, A Candelieri, F Archetti, D Pau International Conference on Artificial Neural Networks, 92-103, 2020 | 17 | 2020 |
| Stochastic optimization for feasibility determination: an application to water pump operation in water distribution network YA Tsai, G Pedrielli, L Mathesen, ZB Zabinsky, H Huang, A Candelieri, ... 2018 Winter Simulation Conference (WSC), 1945-1956, 2018 | 13 | 2018 |
| Modelling human active search in optimizing black-box functions A Candelieri, R Perego, I Giordani, A Ponti, F Archetti Soft Computing 24 (23), 17771-17785, 2020 | 11 | 2020 |
| AutoTinyML for microcontrollers: Dealing with black-box deployability R Perego, A Candelieri, F Archetti, D Pau Expert Systems with Applications 207, 117876, 2022 | 10 | 2022 |
| Bayesian optimization for full waveform inversion BG Galuzzi, R Perego, A Candelieri, F Archetti New Trends in Emerging Complex Real Life Problems: ODS, Taormina, Italy …, 2018 | 8 | 2018 |
| Bayesian optimization for recommender system BG Galuzzi, I Giordani, A Candelieri, R Perego, F Archetti Optimization of Complex Systems: Theory, Models, Algorithms and Applications …, 2020 | 7 | 2020 |
| Intelligent pump scheduling optimization in water distribution networks A Candelieri, R Perego, F Archetti Learning and Intelligent Optimization: 12th International Conference, LION …, 2019 | 6 | 2019 |
| Optimizing partially defined black-box functions under unknown constraints via sequential model based optimization: an application to pump scheduling optimization in water … A Candelieri, B Galuzzi, I Giordani, R Perego, F Archetti International Conference on Learning and Intelligent Optimization, 77-93, 2019 | 4 | 2019 |
| Energy efficient hyperparameters tuning through augmented Gaussian processes and multi-information source optimization A Candelieri, F Archetti, A Ponti, R Perego 2020 7th International Conference on Soft Computing & Machine Intelligence …, 2020 | 2 | 2020 |
| Dimensionality reduction methods to scale Bayesian optimization up A Candelieri, R Perego Numerical Computations: Theory and Algorithms NUMTA 2019 167, 2019 | 2 | 2019 |
| Active learning of optimal controls for pump scheduling optimization A Candelieri, R Perego, I Giordani, F Archetti EGU General Assembly Conference Abstracts, EGU21-12610, 2021 | 1 | 2021 |
| Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization A Candelieri, I Giordani, R Perego, F Archetti International Conference on Learning and Intelligent Optimization, 316-323, 2020 | 1 | 2020 |
| Are Humans Bayesian in the Optimization of Black-Box Functions? A Candelieri, R Perego, I Giordani, F Archetti International Conference on Numerical Computations: Theory and Algorithms, 32-42, 2019 | 1 | 2019 |
| Automated Deep Learning through Constrained Bayesian Optimization R Perego Università degli Studi di Milano-Bicocca, 2021 | | 2021 |
| Learning Enabled Constrained Black-Box Optimization F Archetti, A Candelieri, BG Galuzzi, R Perego Black Box Optimization, Machine Learning, and No-Free Lunch Theorems, 1-33, 2021 | | 2021 |
| Safe global optimization of expensive noisy black-box functions D Kvasov, Y Sergeev, A Candelieri, R Perego SIAM-CSE21 Abstracts, 2021 | | 2021 |
