PEREGO, RICCARDO

PEREGO, RICCARDO  

DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE  

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Titolo Tipologia Data di pubblicazione Autori File
AutoTinyML for microcontrollers: Dealing with black-box deployability 01 - Articolo su rivista 2022 Perego R.Candelieri A.Archetti F. +
Automated Deep Learning through Constrained Bayesian Optimization 07 - Tesi di dottorato Bicocca post 2009 2021 PEREGO, RICCARDO
Green machine learning via augmented Gaussian processes and multi-information source optimization 01 - Articolo su rivista 2021 Candelieri A.Perego R.Archetti F.
Learning Enabled Constrained Black-Box Optimization 03 - Contributo in libro 2021 Archetti, FCandelieri, AGaluzzi, BGPerego, R
Are Humans Bayesian in the Optimization of Black-Box Functions? 02 - Intervento a convegno 2020 Candelieri, APerego, RGiordani, IArchetti, F
Bayesian Optimization for Recommender System 03 - Contributo in libro 2020 Galuzzi, BGGiordani, ICandelieri, APerego, RArchetti, F
Composition of kernel and acquisition functions for high dimensional bayesian optimization 02 - Intervento a convegno 2020 Candelieri, AGiordani, IPerego, RArchetti, F
Energy Efficient Hyperparameters Tuning through Augmented Gaussian Processes and Multi-information Source optimization 02 - Intervento a convegno 2020 Candelieri A.Archetti F.Ponti A.Perego R.
Hyperparameter optimization for recommender systems through Bayesian optimization 01 - Articolo su rivista 2020 Galuzzi B. G.Giordani I.Candelieri A.Perego R.Archetti F.
Modelling human active search in optimizing black-box functions 01 - Articolo su rivista 2020 Candelieri A.Perego R.Giordani I.Ponti A.Archetti F.
Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks 03 - Contributo in libro 2020 Candelieri, AGaluzzi, BGiordani, IPerego, RArchetti, F
Safe global optimization of expensive noisy black-box functions in the delta-Lipschitz framework 01 - Articolo su rivista 2020 Candelieri, AntonioPerego, Riccardo +
Tuning Deep Neural Network’s Hyperparameters Constrained to Deployability on Tiny Systems 02 - Intervento a convegno 2020 Perego R.Candelieri A.Archetti F. +
Business information systems for the cost/energy management of water distribution networks: a critical appraisal of alternative optimization strategies 03 - Contributo in libro 2019 Candelieri, AGaluzzi, BG.Giordani, IPerego, RArchetti, F
Intelligent pump scheduling optimization in water distribution networks 03 - Contributo in libro 2019 Candelieri, APerego, RArchetti, F
Bayesian Optimization for Full Waveform Inversion 03 - Contributo in libro 2018 Galuzzi, Bruno G.Perego, RiccardoCandelieri, AntonioArchetti, Francesco
Bayesian optimization of pump operations in water distribution systems 01 - Articolo su rivista 2018 Candelieri, APEREGO, RICCARDOArchetti, F
Stochastic optimization for feasibility determination: an application to water pump operation in water distribution network 02 - Intervento a convegno 2018 Antonio CandelieriRiccardo Perego +