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

Pascal Germain

Pascal Germain

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

Connect

Université Laval

Google Scholar

About

Pascal Germain is a Canada CIFAR AI Chair at Mila, and an assistant professor in the department of computer and software engineering at Université Laval.

Germain’s main research interests are statistical learning theory, including PAC-Bayesian theory, and learning algorithms.

Relevant Publications

  • Zantedeschi, V., Viallard, P., Morvant, E., Emonet, R., Habrard, A., Germain, P., & Guedj, B. (2021). Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound.

  • Viallard, P., Germain, P., Habrard, A., & Morvant, E. (2021). Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound.

  • Viallard, P., Germain, P., Habrard, A., & Morvant, E. (2021). A General Framework for the Derandomization of PAC-Bayesian Bounds.

  • Pequignot, Y., Alain, M., Dallaire, P., Yeganehparast, A., Germain, P., Desharnais, J., & Laviolette, F. (2020). Implicit Variational Inference: the Parameter and the Predictor Space.

  • Zhang, L., Germain, P., Kessaci, Y., & Biernacki, C. (2020). Target to Source Coordinate-wise Adaptation of Pre-trained Models. In ECML PKDD 2020-The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.

Institution

Mila

Université Laval

Department

Computer and Software Engineering

Education

  • PhD (Computer Science), Université Laval
  • MSc (Computer Science), Université Laval

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