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Daniel Russo

Columbia Business School
Philip H. Geier Jr. Associate Professor of Business
Decision, Risk, and Operations Division
Areas of Expertise
AI and Business Analytics
Contact
Office: 976 Kravis
E-mail: [email protected]
Links
Curriculum Vitae
Education
BS, University of Michigan, 2011; PhD, Stanford University, 2015
Joined CBS
2017

All Activities

  • Research
  • Teaching
  • Awards and Honors
  • Press
  • Journal articles
  • Working papers
  • Articles
  • Books
  • Chapters
Type
Working Paper
Russo, Daniel, Benjamin Van Roy, Abbas Kazerouni, Ian Osband, and Zheng Wen
. Foundations and Trends in Machine Learning, A Tutorial on Thompson Sampling. January 01, 2020.
Read More about Foundations and Trends in Machine Learning, A Tutorial on Thompson Sampling
Download PDF on Foundations and Trends in Machine Learning, A Tutorial on Thompson Sampling
  • Courses
  • Case Studies
Type
Course
B9137: DRO Topics Seminar
View Course on DRO Topics Seminar
Type
Course
B6100: Managerial Statistics
View Course on Managerial Statistics
Type
Course
B9120: (PhD) Dynamic Programming
View Course on (PhD) Dynamic Programming
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