Scholar
Francesco Bacchiocchi
Google Scholar ID: UKGWeAoAAAAJ
PhD Student, Politecnico di Milano
Citations & Impact
Citations
94
H-index
5
i10-index
4
Publications
17
Co-authors
10
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Publications:
- - 2 papers accepted at NeurIPS 2025
- - 1 paper accepted at ICML 2025 and 1 paper accepted at EC 2025
- - Paper 'The Sample Complexity of Stackelberg Games' received an oral presentation at AISTATS 2025 (top ~2%)
- - Multiple papers published in top conferences such as NeurIPS, ICML, EC, ICLR, and IJCAI
Research Experience
- Position: ELLIS PhD Student
- Work Experience: Conducting research at Politecnico di Milano and visiting Oxford University
Education
- Degree: ELLIS PhD
- University: Politecnico di Milano
- Advisor: Prof. Nicola Gatti
- Visiting Experience: As part of the ELLIS program, visited Prof. Jiarui Gan at Oxford University
Background
- Research interests: algorithmic game theory, online learning, and optimization. Specifically, he combines machine learning techniques with economic paradigms to design algorithms that enable strategic reasoning in competitive, multi-agent environments.
Miscellany
- Email: francesco DOT bacchiocchi AT polimi DOT it
- Office: Office 14, First floor, Building 21, Via Golgi 39, 20133, Milan, Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano
