Riccardo Perego

According to our database, Riccardo Perego authored at least 13 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

AutoTinyML for microcontrollers: Dealing with black-box deployability.

Riccardo Perego, Antonio Candelieri, Francesco Archetti, Danilo Pau

Expert Syst. Appl., 2022

2021

Green machine learning via augmented Gaussian processes and multi-information source optimization.

Antonio Candelieri, Riccardo Perego, Francesco Archetti

Soft Comput., 2021

2020

Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework.

Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego

Soft Comput., 2020

Modelling human active search in optimizing black-box functions.

Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Andrea Ponti, Francesco Archetti

Soft Comput., 2020

Hyperparameter optimization for recommender systems through Bayesian optimization.

Bruno G. Galuzzi, Ilaria Giordani, Antonio Candelieri, Riccardo Perego, Francesco Archetti

Comput. Manag. Sci., 2020

Composition of Kernel and Acquisition Functions for High Dimensional Bayesian Optimization.

Antonio Candelieri, Ilaria Giordani, Riccardo Perego, Francesco Archetti

Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems.

Riccardo Perego, Antonio Candelieri, Francesco Archetti, Danilo Pau

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Bayesian Optimization for Recommender System.

Bruno Giovanni Galuzzi, Ilaria Giordani, Antonio Candelieri, Riccardo Perego, Francesco Archetti

Proceedings of the Optimization of Complex Systems: Theory, 2019

Are Humans Bayesian in the Optimization of Black-Box Functions?

Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Francesco Archetti

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.

Antonio Candelieri, Bruno G. Galuzzi, Ilaria Giordani, Riccardo Perego, Francesco Archetti

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.

Yi-An Tsai, Giulia Pedrielli, Logan Mathesen, Zelda B. Zabinsky, Hao Huang, Antonio Candelieri, Riccardo Perego

Proceedings of the 2018 Winter Simulation Conference, 2018

Intelligent Pump Scheduling Optimization in Water Distribution Networks.

Antonio Candelieri, Riccardo Perego, Francesco Archetti

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.

Antonio Candelieri, Bruno G. Galuzzi, Ilaria Giordani, Riccardo Perego, Francesco Archetti

Proceedings of the Business Information Systems Workshops, 2018