Scholar
Emmanuel Esposito
Google Scholar ID: Wnal-EIAAAAJ
Postdoctoral Researcher, Università degli Studi di Milano
Citations & Impact
Citations
111
H-index
6
i10-index
3
Publications
14
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'On the Minimax Regret for Online Learning with Feedback Graphs' accepted as a Spotlight at NeurIPS 2023; ICML 2023 paper accepted at EWRL 2023; recent publications include 'A Theory of Interpretable Approximations' and 'Efficient Algorithms for Learning Monophonic Halfspaces in Graphs', both to be presented at COLT 2024.
Research Experience
- Conducting research at LAILA, University of Milan, and has research experience at IIT Genoa.
Education
- PhD Candidate in Computer Science at University of Milan, supervised by Prof. Nicolò Cesa-Bianchi; affiliated with Italian Institute of Technology in Genoa, supervised by Prof. Massimiliano Pontil.
Background
- Research interests include online learning and machine learning theory, with a focus on the interplay between feedback models and the hardness of sequential decision-making problems. Also interested in the intersection with other areas such as reinforcement learning, game theory, and optimization.
