Research Topic:
Main topics of Ph.D. studies are on Automatic Algorithm Configuration and Hyperparameters
Optimization using global optimization techniques. Principal domains of application are Machine Learning, Reinforcement Learning, Deep Learning, and Simulated Optimization.
Publications
- Candelieri, A., Perego, R. & Archetti, F. Bayesian optimization of pump operations in water distribution systems. Journal of Global Optimization (2018). https://doi.org/10.1007/s10898-018-0641-2
- Galuzzi, B. G., Perego, R., Candelieri, A., & Archetti, F. (2018). Bayesian Optimization for Full
Waveform Inversion. In New Trends in Emerging Complex Real Life Problems (pp. 257-264).
Springer, Cham.
Teaching
- Business Intelligence per Servizi Finanziari: 1/10/2018-15/01/2019
- Business Intelligence per Servizi Finanziari: 1/10/2019-15/01/2020
Lab
http://www.mind.disco.unimib.it
Contacts
r.perego12@campus.unimib.it
riccardo.perego@unimib.it
+39 02 6448 7919
Room 1042 – Mind
Edificio U14
Viale Sarca 336
Milano