Congratulations Can Yaras for receiving the CPAL (Conference on Parsimony and Learning) Rising Star recognition! Very well deserved!
May 15, 2026
Congratulations Can Yaras for receiving the CPAL (Conference on Parsimony and Learning) Rising Star recognition! Very well deserved!
July 1, 2026 By Laura Balzano
Congratulations Dr. Soo Min Kwon for successfully defending his PhD in May and for winning the AIStats CauScale Workshop best paper award!
Soo Min’s dissertation was titled “Deep Learning through Low-Dimensional Representations: Theory and Algorithms” and included a range of exciting results on theory of low-dimensional structure in deep learning, as well as a novel algorithm for learning Grassmannian geodesic structure from compressive measurements.
Soo Min was co-advised by my colleague Qing Qu. Another of Qing’s students, Alec Xu, was lead co-author on the paper that won a workshop best paper award. That paper studies a mathematical model for out-of-distribution generalization we sometimes see empirically with in-context learning. You can read about the best paper award here.
May 15, 2026 By Laura Balzano
Congratulations Can Yaras for receiving the CPAL (Conference on Parsimony and Learning) Rising Star recognition! Very well deserved!
May 1, 2026 By Laura Balzano
Today I hooded Dr. Javier Salazar Cavazos, who defended his thesis in March and today walked the stage at commencement. His dissertation is entitled “Learning Representations from Noisy Data and Brain Imaging: Subspace Modeling for Heteroscedastic Data and Deep Learning for Functional MRI in Alzheimer’s Disease,” and included his paper on ALPCAH, an algorithm for heteroscedastic subspace learning. Next he’ll be going to KLA. Congratulations Javier!
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