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Description: Conference on Parsimony and Learning (CPAL) - Addressing the low-dimensional structures in high-dimensional data that prevail in machine learning, signal processing, optimization, and beyond.

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Menu Expand (external link) Document Search Copy Copied Home Conference Vision Key Dates Call for Papers Subject Areas Submission Tracks Review Guidelines Keynote Speakers Organizers Area Chairs Advisory Committee Connect: Credit: theme CPAL OpenReview Conference on Parsimony and Learning (CPAL) January 2024, HKU 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 processi

We describe our vision for the conference in more detail here .

We are pleased to invite paper submissions for the first Conference on Parsimony and Learning. 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.

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