PDF) On the Reconstruction of Block-Sparse Signals With an Optimal Number of Measurements
Joel A. Tropp: H-index & Awards - Academic Profile | Research.com
arXiv:1906.03761v4 [stat.ML] 13 Nov 2019
Universality in Learning from Linear Measurements
Joel A. Tropp / Caltech
PDF) The Gaussian min-max theorem in the Presence of Convexity
Highly Cited Researchers | Division of Engineering and Applied Science
Duke Workshop on High-Dimensional Data Sensing and Analysis
Trustees, Administration, Faculty (pdf) - Caltech Catalog
People | Center for Sensing to Intelligence
Prof. Dr. Götz Pfander: Katholische Universität Eichstätt - Ingolstadt
Recovering structured signals in high dimensions via non-smooth convex optimization: Precise performance analysis
Joel A. Tropp / Caltech
Relaxations for Non-Separable Cardinality/Rank Penalties
Joel A. Tropp: H-index & Awards - Academic Profile | Research.com
Agenda
The Impact of Regularization on High-dimensional Logistic Regression
Joel A. Tropp: H-index & Awards - Academic Profile | Research.com
Joel A. Tropp: H-index & Awards - Academic Profile | Research.com
arXiv:2107.04349v1 [math.OC] 9 Jul 2021
The Advanced Matrix Factorization Jungle - igorcarron2
The Computing and Mathematical Sciences PhD Goal: An introduction to, advertisement for, & call for feedback on a new PhD program. - ppt download
dolcit @ caltech
