MWT white paper (pdf) – Background for potential users of the Decision Service: machine learning methodology and system design, and how to make them fit YOUR application. Also covers past deployments and experimental evaluation. For a broad technical audience, both in product groups and in research.
Slide deck on MWT and the Decision Service.
MWT Decision Service Wiki: tutorials, guides and references.
Custom Decision Service documentation
Tutorials and lectures:
- Learning to interact (John Langford, NIPS 2013).
- Learning to Interact (Leon Bottou, MSR TechFest 2014).
- Large-Scale Machine Learning (NYU, 2013, John Langford and Yann LeCun, lectures 9-11).
Most relevant papers:
- Basic techniques of MWT with applications to news recommendation (WSDM 2011).
- MWT with estimated action selection probabilities (NIPS 2010).
- Application of MWT to Bing Speller (WWW’14).
Background reading:
People
Markus Cozowicz
Senior Research Engineer
Miro Dudík
Sr Principal Researcher Manager
John Langford
Partner Researcher Manager
Siddhartha Sen
Principal Researcher
Alex Slivkins
Senior Principal Researcher