Dmitriy Ivanov
- Lecturer, Doctoral Student:HSE Campus in St. Petersburg / St.Petersburg School of Economics and Management / Department of Economics
- Junior Research Fellow:HSE Campus in St. Petersburg / St.Petersburg School of Economics and Management / International Laboratory of Game Theory and Decision Making
- Dmitriy Ivanov has been at HSE University since 2017.
Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2020-2021)
Postgraduate Studies
3rd year of study
Approved topic of thesis: Identification of suspicious behaviour In Russian procurement auctions using statistical methods and machine learning
Academic Supervisor: Nesterov, Alexander S.
Education
2018 MSc: HSE in Saint-Petersburg, Master's Program "Big Data Analysis in Business, Economics and Society"
Publications4
- Chapter Dmitry Ivanov. DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning, in: 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA 2020). Miami : IEEE, 2020. P. 1-9. (in press)
- Preprint Ivanov D. DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning / Cornell University. Series Computer Science "arxiv.org". 2019.
- Preprint Ivanov D., Nesterov A. S. Identifying Bid Leakage In Procurement Auctions: Machine Learning Approach / Cornell University. Series Economics "arxiv.org". 2019.
- Chapter Dmitry Ivanov, Alexander Nesterov. Identifying Bid Leakage in Procurement Auctions: Machine Learning Approach, in: EC '19 Proceedings of the 2019 ACM Conference on Economics and Computation. Association for Computing Machinery (ACM), 2019. doi P. 69-70. doi
Conferences
- 201920th ACM Conference on Economics and Computation (EC'19) (Phoenix, Arizona). Presentation: Identifying Bid Leakage In Procurement Auctions: Machine Learning Approach
- 34TH ANNUAL CONGRESS OF THE EUROPEAN ECONOMIC ASSOCIATION (Манчестер). Presentation: Identifying Bid Leakage In Procurement Auctions: Machine Learning Approach
