Roberto Colomboni
Scholar

Roberto Colomboni

Google Scholar ID: XGtfiRcAAAAJ
Machine Learning Researcher at POLIMI (Milan) and UNIMI (Milan)
Statistical learning theoryOnline learningMulti-Armed Bandits
Citations & Impact
All-time
Citations
201
 
H-index
7
 
i10-index
7
 
Publications
20
 
Co-authors
13
list available
Contact
Resume (English only)
Academic Achievements
  • Publications include:
  • - Market making without regret
  • - A parametric contextual online learning theory of brokerage
  • - Adaptive maximization of social welfare
  • - An online learning theory of trading-volume maximization
  • - A tight regret analysis of non-parametric repeated contextual brokerage
  • - Fair online bilateral trade
  • - An improved uniform convergence bound with fat-shattering dimension
  • - A theoretical framework for zeroth-order budget convex optimization
  • - Regret analysis of bilateral trade with a smoothed adversary
  • - The role of transparency in repeated first-price auctions with unknown valuations
  • - An online learning theory of brokerage
  • - Repeated bilateral trade against a smoothed adversary
  • - Bilateral trade: a regret minimization perspective
  • - Nonstochastic bandits with composite anonymous feedback
  • - A regret analysis of bilateral trade
  • - A nearest neighbor characterization of Lebesgue points in metric measure spaces.
Background
  • Research interests: Statistical Learning, Online Learning, Multi-Armed Bandits, Digital Markets. Currently affiliated with POLIMI and UNIMI.