Our team comprises multiple overlapping research groups working on graph mining, large-scale optimization, and market algorithms. We collaborate closely with teams across Google, benefiting Ads, Search, YouTube, Play, Infrastructure, Geo, Social, Image Search, Cloud and more. Along with these collaborations, we perform research related to algorithmic foundations of machine learning, distributed optimization, economics, data mining, and data-driven optimization. Our researchers are involved in both long-term research efforts as well as immediate applications of our technology.
Examples of recent research interests of the NYC Algorithms and Optimization team include online ad allocation problems, distributed algorithms for large-scale graph mining, mechanism design for advertising exchanges, and robust and dynamic pricing for ad auctions.
Take a look at our recent and upcoming Research Seminars.
WSDM 2016: Ninth ACM International Conference on Web Search and Data Mining, ACM (to appear)
Maxime Cohen , Ilan Lobel , Renato Paes Leme
Proceedings of the 2016 ACM Conference on Economics and Computation
STOC (2015), pp. 889-898
STOC (2015), pp. 153-162
STOC, ACM (2012), pp. 107-122
Symposium on the Foundations of Computer Science (FOCS) (2009)