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Riccardo Perego
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Year
Bayesian optimization of pump operations in water distribution systems
A Candelieri, R Perego, F Archetti
Journal of Global Optimization 71 (1), 213-235, 2018
812018
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
232020
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
222020
Green machine learning via augmented Gaussian processes and multi-information source optimization
A Candelieri, R Perego, F Archetti
Soft Computing, 1-13, 2021
162021
Tuning deep neural network’s hyperparameters constrained to deployability on tiny systems
R Perego, A Candelieri, F Archetti, D Pau
Artificial Neural Networks and Machine Learning–ICANN 2020: 29thá…, 2020
112020
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
112018
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
92020
Bayesian optimization for recommender system
BG Galuzzi, I Giordani, A Candelieri, R Perego, F Archetti
Optimization of Complex Systems: Theory, Models, Algorithms and Applicationsá…, 2020
72020
Bayesian optimization for full waveform inversion
BG Galuzzi, R Perego, A Candelieri, F Archetti
New Trends in Emerging Complex Real Life Problems: ODS, Taormina, Italyá…, 2018
72018
Intelligent pump scheduling optimization in water distribution networks
A Candelieri, R Perego, F Archetti
Learning and Intelligent Optimization: 12th International Conference, LIONá…, 2019
52019
Dimensionality reduction methods to scale Bayesian optimization up
A Candelieri, R Perego
Numerical Computations: Theory and Algorithms NUMTA 2019 167, 2019
42019
Optimizing partially defined black-box functions under unknown constraints via Sequential Model Based Optimization: an application to Pump Scheduling Optimization in Waterá…
A Candelieri, B Galuzzi, I Giordani, R Perego, F Archetti
Learning and Intelligent Optimization: 13th International Conference, LIONá…, 2020
32020
AutoTinyML for microcontrollers: Dealing with black-box deployability
R Perego, A Candelieri, F Archetti, D Pau
Expert Systems with Applications 207, 117876, 2022
12022
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
12021
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization
A Candelieri, I Giordani, R Perego, F Archetti
Learning and Intelligent Optimization: 14th International Conference, LIONá…, 2020
12020
Are Humans Bayesian in the Optimization of Black-Box Functions?
A Candelieri, R Perego, I Giordani, F Archetti
Numerical Computations: Theory and Algorithms: Third Internationalá…, 2020
12020
Automated Deep Learning through Constrained Bayesian Optimization
R Perego
UniversitÓ 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 Conference on Computational Science and Engineering CSE21, 2021
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 Intelligenceá…, 2020
2020
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