Alex Slivkins

Senior Principal Researcher

À propos

I am a Senior Principal Researcher at MSR New York City (opens in new tab). Previously I was a researcher at MSR Silicon Valley (opens in new tab) lab (now defunct), after receiving my Ph.D. in Computer Science from Cornell and a postdoc at Brown.

My research interests are in algorithms and theoretical computer science, spanning learning theory, algorithmic economics, and networks. I am particularly interested in online machine learning and exploration-exploitation tradeoff, and their manifestations in socioeconomic environments. Much of my earlier research was on the analysis of Internet and social networks, metric embeddings, and distance/routing data structures. My work has been recognized with the best paper award at ACM EC 2010, the best paper nomination at WWW 2015, and the best student paper award at ACM PODC 2005.

Full publication list (opens in new tab) (with abstracts, by year and by topic / research program).

My book, Introduction to Multi-Armed Bandits, provides a textbook-like treatment of the subject.

Latest revision (opens in new tab) (Jan 2022) can be found on arXiv.
Published (opens in new tab) (Nov 2019) with Foundations and Trends in Machine Learning (opens in new tab).
Book announcements: in SIGEcom Exchanges (opens in new tab) and on MSR blog (opens in new tab).

Relevant groups at MSR: Economics and Computation (opens in new tab) and Machine Learning & AI | NYC (opens in new tab).

Prospective interns: please apply here (opens in new tab) (and drop me a line if you are interested in working with me).