Bayesian optimization of pump operations in water distribution systems A Candelieri, R Perego, F Archetti
Journal of Global Optimization 71 (1), 213-235, 2018
99 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
38 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
34 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
23 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
16 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
10 2020 AutoTinyML for microcontrollers: Dealing with black-box deployability R Perego, A Candelieri, F Archetti, D Pau
Expert Systems with Applications 207, 117876, 2022
9 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 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 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
1 2020 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