The Conference on Parsimony and Learning (CPAL) is an annual research conference focused on addressing the parsimonious, low dimensional structures that prevail in machine learning, signal processing, optimization, and beyond. We are interested in theories, algorithms, applications, hardware and systems, as well as scientific foundations for learning with parsimony.
Call for Papers
We are pleased to announce the Third Conference on Parsimony and Learning, to be held in Tübingen, Germany!
Paper submissions for the third Conference on Parsimony and Learning will be opened soon. Please see the call for papers for details about the submission and reviewing process, as well as subject areas of interest and general policies.
Stay tuned for further updates!
Key Dates and Deadlines (Tentative)
All deadlines are 23:59 Anywhere-on-Earth (AOE)
- December 5, 2025: Conference paper submission deadline
- December 10, 2025: Tutorial proposal deadline
- December 15, 2025: “Rising Stars” application deadline
- January 5, 2026: Review deadline
- January 8–11, 2026: Paper rebuttal period
- January 14, 2026: Tutorial results announced
- January 15, 2026: “Recent Spotlight” article submission deadline
- January 20, 2026: Final paper decisions released
- March 23–27, 2026: Conference held in Tübingen, Germany
Keynote Speakers
Francis Bach
INRIA - École Normale Supérieure
Niao He
ETH Zurich
Bernhard Schölkopf
Max Planck Institute for Intelligent Systems
Taiji Suzuki
University of Tokyo / RIKEN AIP
Fanny Yang
ETH Zurich