Machine Learning NYC

Research of the Machine Learning group at MSR-NYC spans a wide variety of topics within theoretical and applied machine learning, including learning from interactive data (e.g., contextual bandits and reinforcement learning), online learning, prediction markets, and Bayesian latent variable modeling. Scroll below to view our group members and publications.

 

People

Publications

2017

2016

2015

2014

2013

Bandits with Knapsacks
Ashwinkumar Badanidiyuru, Robert Kleinberg, Aleksandrs Slivkins, Alex Slivkins, in 54th IEEE Symp. on Foundations of Computer Science (FOCS), January 1, 2013, View abstract

2012

2011

2010

2009

2008

2007

2006

Opportunities