Perego Riccardo

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

Lab

http://www.mind.disco.unimib.it

Contacts

riccardo dot perego at unimb dot it

riccardo dot perego at disco dot unimib dot it
+39 02 6448 7919

Room 1042 – Mind
Edificio U14
Viale Sarca 336
Milano

Research Gate

BOA