CPAL is a new annual research conference focused on the parsimonious, low dimensional structures that prevail in ML, signal processing, optimization, and beyond
Calling all parsimony and learning researchers 🚨🚨 The 3rd annual CPAL will be held in Tübingen Germany March 23–26, 2026! Check out this year's website for all the details cpal.cc
Announcing Conference on Parsimony and Learning (CPAL), a new annual conference for researchers in ML, signal processing, optimization, etc. who study parsimonious, low dimensional structures! (1/5)
CPAL is thrilled to introduce a Rising Star Awards Program 💫 open to last-year PhD students, postdoctoral scholars, first-year tenure track faculty, or industry researcher within two years of graduation
It is our great pleasure to welcome (the twitterless) Prof. Emmanuel Candès to the advisory committee!! Emmanuel is the Barnum-Simons Chair in Mathematics and Statistics at @Stanford
We're lucky to be guided by a fantastic advisory committee @AlexGDimakis Michael Elad (Technion) @YiMaTweets Stefano Soatto (UCLA) Rebecca Willett (UChicago) @ericxing Tony Zhang (HKUST) !
WOW Incredible new video from @HKUniversity@hkudatascience introducing CPAL 2023! Check it out and get excited for some fun and inspiration this coming January
NEW KEYNOTE SPEAKER ALERT 🚨 We are excited to announce that Prof. Maryam Fazel of U Washington will be joining the inaugural CPAL line-up of keynote speakers!!
We are excited to announce that @AnimaAnandkumar has joined our advisory committee!! Prof. Anandkumar is Bren Professor of Computing at @Caltech and Director of ML at @nvidia