Skip to content
CIFAR header logo
fr
menu_mobile_logo_alt
  • News
  • Events
    • Public Events
    • Invitation-only Meetings
  • Programs
    • Research Programs
    • Pan-Canadian AI Strategy
    • Next Generation Initiatives
    • Global Call for Ideas
  • People
    • Fellows & Advisors
    • CIFAR Azrieli Global Scholars
    • Canada CIFAR AI Chairs
    • AI Strategy Leadership
    • Solution Network Members
    • Leadership
  • Support Us
  • About
    • Our Story
    • CIFAR 40
    • Awards
    • Partnerships
    • Publications & Reports
    • Careers
    • Staff Directory
    • Equity, Diversity & Inclusion
  • fr
  • Home
  • Bio

Follow Us

kevin2

Kevin Leyton-Brown

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

Connect

University of British Columbia

Google Scholar

About

Kevin Leyton-Brown is a Canada CIFAR AI Chair at Amii, and a professor of Computer Science at the University of British Columbia. He is the Director of the Centre for Artificial Intelligence Decision-Making and Action at UBC’s Institute for Computing, Information and Cognitive Systems. Leyton-Brown acts as an advisor to AI21 Labs and Auctionomics and has co-founded two companies: Kudu.ug and Meta-Algorithmic Technologies.

Leyton-Brown conducts research in the areas of computational game theory; market design, analysis and clearing; and machine learning for optimization. His work in game theory develops computational techniques for replacing pen-and-paper methods for analyzing strategic behaviour. He also develops general techniques for designing algorithms that are fast in practice on provably hard optimization problems. 

Leyton-Brown is a leader in using machine learning methods to characterize algorithm performance, producing the world’s fastest satisfiability solvers and clearing algorithms that have had a wide impact in electronic commerce companies and government.

Awards

  • Distinguished Scholar Award, UBC, 2021
  • Amazon Research Award, Amazon Research, 2021
  • Facebook Research Award, 2018
  • Google Faculty Research Award, 2013
  • ACM-EC Best Student Paper Award, 2012

Relevant Publications

  • Thornton, C., Hutter, F., Hoos, H. H., & Leyton-Brown, K. (2013). Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms. In Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 847-855).

  • Hutter, F., Hoos, H. H., & Leyton-Brown, K. (2011). Sequential model-based optimization for general algorithm configuration. In International conference on learning and intelligent optimization (pp. 507-523). Springer, Berlin, Heidelberg.

  • Hutter, F., Hoos, H. H., Leyton-Brown, K., & Stützle, T. (2009). ParamILS: an automatic algorithm configuration framework. Journal of Artificial Intelligence Research, 36, 267-306.

  • Shoham, Y., & Leyton-Brown, K. (2008). Multiagent systems: Algorithmic, game-theoretic, and logical foundations. Cambridge University Press.

  • Xu, L., Hutter, F., Hoos, H. H., & Leyton-Brown, K. (2008). SATzilla: portfolio-based algorithm selection for SAT. Journal of artificial intelligence research, 32, 565-606.

Institution

Amii

University of British Columbia

Department

Computer Science

Education

  • PhD (Computer Science), Stanford University
  • MSc (Computer Science), Stanford University
  • BSc (Computer Science), McMaster University

Country

Canada

Support Us

CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.

Donate Now
CIFAR header logo

MaRS Centre, West Tower
661 University Ave., Suite 505
Toronto, ON M5G 1M1 Canada

Contact Us
Media
Careers
Accessibility Policies
Supporters
Financial Reports
Subscribe

  • © Copyright 2023 CIFAR. All Rights Reserved.
  • Charitable Registration Number: 11921 9251 RR0001
  • Terms of Use
  • Privacy
  • Sitemap

Subscribe

Stay up to date on news & ideas from CIFAR.

This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, see our Privacy Policy.
Accept Learn more