Riccardo Perego
According to our database1,
Riccardo Perego
authored at least 12 papers
between 2018 and 2021.
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Bibliography
2021
Green machine learning via augmented Gaussian processes and multi-information source optimization.
Soft Comput., 2021
2020
Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework.
Soft Comput., 2020
Comput. Manag. Sci., 2020
Composition of Kernel and Acquisition Functions for High Dimensional Bayesian Optimization.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
2019
Proceedings of the Optimization of Complex Systems: Theory, 2019
Proceedings of the Numerical Computations: Theory and Algorithms, 2019
Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks.
Proceedings of the Learning and Intelligent Optimization - 13th International Conference, 2019
2018
Stochastic Optimization for Feasibility determination: an Application to water pump Operation in water Distribution Network.
Proceedings of the 2018 Winter Simulation Conference, 2018
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018
Business Information Systems for the Cost/Energy Management of Water Distribution Networks: A Critical Appraisal of Alternative Optimization Strategies.
Proceedings of the Business Information Systems Workshops, 2018