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Conference on Parsimony and Learning (CPAL) | Stanford HAI
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eventConference

Conference on Parsimony and Learning (CPAL)

Status
Past
Date
Monday, March 24, 2025 - Thursday, March 27, 2025
Location
Simonyi Conference Center, CoDa, 389 Jane Stanford Way, Stanford, CA 94305
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Event Contact
datascience@stanford.edu

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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.

Full Agenda

Tickets

Registration TypeWhat's includedPrice
General Admission/IndustryAccess to all academic sessions, coffee breaks$425
Student Pass (60% off)Access to all academic sessions, coffee breaks$170
Tutorials–General Public $275
Totorials–Students (60% off) $110

Keynote Speakers

  • Alison Gopnik, University of California, Berkeley

  • Doris Tsao, University of California, Berkeley

  • Fred Kjolstad, Stanford University

  • Jason Lee, Princeton University

  • Konrad Kording, University of Pennsylvania

  • Michael Unser, École Polytechnique Fédérale de Lausanne (EPFL)

  • Richard Baraniuk, Rice University

  • Yingyu Liang, University of Hong Kong, University of Wisconsin-Madison

  • Yuandong Tian, Meta AI Research

Visit the CPAL website for key dates, confirmed speakers, and more information.