Tutorials
In-person tutorials of 120–180 minutes, led by at least two presenters, providing a balanced overview of mature research areas in parsimonious learning for PhD students and researchers.
The Conference on Parsimony and Learning
The Conference on Parsimony and Learning (CPAL) is an annual research conference focused on parsimonious, low-dimensional structures in machine learning, signal processing, optimization, and related fields. It brings together researchers to advance theories, algorithms, applications, and systems that promote efficient and interpretable learning.
Full paper
December 6, 2025
AoE
Conference timeline
Full paperKey deadline
December 6, 2025 · AoE
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
In-person tutorials of 120–180 minutes, led by at least two presenters, providing a balanced overview of mature research areas in parsimonious learning for PhD students and researchers.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026