Scholar
Aleksandrs Slivkins
Google Scholar ID: f2x233wAAAAJ
Senior Principal Researcher, Microsoft Research NYC
Citations & Impact
Citations
5,782
H-index
35
i10-index
59
Publications
20
Co-authors
28
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- Best paper award at ACM EC 2010; Best paper nomination at WWW 2015; Best student paper award at ACM PODC 2005. Author of the book 'Introduction to Multi-Armed Bandits' published by Foundations and Trends in Machine Learning in November 2019.
Research Experience
- Senior Principal Researcher at Microsoft Research NYC. Previously, he was a researcher at Microsoft Research Silicon Valley (now defunct).
Education
- Ph.D. in Computer Science from Cornell University; Postdoc at Brown University
Background
- Research interests span machine learning theory, algorithmic economics, and networks. Particularly interested in multi-armed bandits and the exploration-exploitation tradeoff, and their manifestations in socioeconomic environments and generative AI. Much of his earlier research was on the analysis of Internet and social networks, metric embeddings, and distance/routing data structures.
