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X-WR-CALNAME:Conference on Parsimony and Learning (CPAL)
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260617T133357Z
UID:tag:localist.com\,2008:EventInstance_48907505620803
DTSTART:20250324T160000Z
DTEND:20250325T000000Z
DESCRIPTION:The Conference on Parsimony and Learning (CPAL) is an annual re
 search conference focused on addressing the parsimonious\, low-dimensional
  structures that prevail in machine learning\, signal processing\, optimiz
 ation\, and beyond. We are interested in theories\, algorithms\, applicati
 ons\, hardware\, and systems\, as well as scientific foundations for learn
 ing with parsimony.\n\nKeynote Speakers\n\nAlison Gopnik\, University of C
 alifornia\, BerkeleyFred Kjolstad\, Stanford UniversityJason Lee\, Princet
 on UniversityKonrad Kording\, University of PennsylvaniaMichael Unser\, É
 cole Polytechnique Fédérale de Lausanne (EPFL)Richard Baraniuk\, Rice Un
 iversityYuandong Tian\, Meta AI Research \n\nVisit the CPAL website for ke
 y dates\, confirmed speakers\, and more information.
GEO:37.42952;-122.171839
LOCATION:Simonyi Conference Center (CoDa)\, Simonyi Conference Center
SUMMARY:Conference on Parsimony and Learning (CPAL)
URL;VALUE=URI:https://events.stanford.edu/event/conference-on-parsimony-and
 -learning-cpal
CATEGORIES:Conference/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260617T133357Z
UID:tag:localist.com\,2008:EventInstance_48907505622852
DTSTART:20250325T160000Z
DTEND:20250326T000000Z
DESCRIPTION:The Conference on Parsimony and Learning (CPAL) is an annual re
 search conference focused on addressing the parsimonious\, low-dimensional
  structures that prevail in machine learning\, signal processing\, optimiz
 ation\, and beyond. We are interested in theories\, algorithms\, applicati
 ons\, hardware\, and systems\, as well as scientific foundations for learn
 ing with parsimony.\n\nKeynote Speakers\n\nAlison Gopnik\, University of C
 alifornia\, BerkeleyFred Kjolstad\, Stanford UniversityJason Lee\, Princet
 on UniversityKonrad Kording\, University of PennsylvaniaMichael Unser\, É
 cole Polytechnique Fédérale de Lausanne (EPFL)Richard Baraniuk\, Rice Un
 iversityYuandong Tian\, Meta AI Research \n\nVisit the CPAL website for ke
 y dates\, confirmed speakers\, and more information.
GEO:37.42952;-122.171839
LOCATION:Simonyi Conference Center (CoDa)\, Simonyi Conference Center
SUMMARY:Conference on Parsimony and Learning (CPAL)
URL;VALUE=URI:https://events.stanford.edu/event/conference-on-parsimony-and
 -learning-cpal
CATEGORIES:Conference/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260617T133357Z
UID:tag:localist.com\,2008:EventInstance_48907505623877
DTSTART:20250326T160000Z
DTEND:20250327T000000Z
DESCRIPTION:The Conference on Parsimony and Learning (CPAL) is an annual re
 search conference focused on addressing the parsimonious\, low-dimensional
  structures that prevail in machine learning\, signal processing\, optimiz
 ation\, and beyond. We are interested in theories\, algorithms\, applicati
 ons\, hardware\, and systems\, as well as scientific foundations for learn
 ing with parsimony.\n\nKeynote Speakers\n\nAlison Gopnik\, University of C
 alifornia\, BerkeleyFred Kjolstad\, Stanford UniversityJason Lee\, Princet
 on UniversityKonrad Kording\, University of PennsylvaniaMichael Unser\, É
 cole Polytechnique Fédérale de Lausanne (EPFL)Richard Baraniuk\, Rice Un
 iversityYuandong Tian\, Meta AI Research \n\nVisit the CPAL website for ke
 y dates\, confirmed speakers\, and more information.
GEO:37.42952;-122.171839
LOCATION:Simonyi Conference Center (CoDa)\, Simonyi Conference Center
SUMMARY:Conference on Parsimony and Learning (CPAL)
URL;VALUE=URI:https://events.stanford.edu/event/conference-on-parsimony-and
 -learning-cpal
CATEGORIES:Conference/Symposium
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260617T133357Z
UID:tag:localist.com\,2008:EventInstance_48907505625926
DTSTART:20250327T160000Z
DTEND:20250328T000000Z
DESCRIPTION:The Conference on Parsimony and Learning (CPAL) is an annual re
 search conference focused on addressing the parsimonious\, low-dimensional
  structures that prevail in machine learning\, signal processing\, optimiz
 ation\, and beyond. We are interested in theories\, algorithms\, applicati
 ons\, hardware\, and systems\, as well as scientific foundations for learn
 ing with parsimony.\n\nKeynote Speakers\n\nAlison Gopnik\, University of C
 alifornia\, BerkeleyFred Kjolstad\, Stanford UniversityJason Lee\, Princet
 on UniversityKonrad Kording\, University of PennsylvaniaMichael Unser\, É
 cole Polytechnique Fédérale de Lausanne (EPFL)Richard Baraniuk\, Rice Un
 iversityYuandong Tian\, Meta AI Research \n\nVisit the CPAL website for ke
 y dates\, confirmed speakers\, and more information.
GEO:37.42952;-122.171839
LOCATION:Simonyi Conference Center (CoDa)\, Simonyi Conference Center
SUMMARY:Conference on Parsimony and Learning (CPAL)
URL;VALUE=URI:https://events.stanford.edu/event/conference-on-parsimony-and
 -learning-cpal
CATEGORIES:Conference/Symposium
END:VEVENT
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