2 citations · 2 across the 4 of their papers we have counts for
4 papers
Variational Formulas for the Spectrum of Block Wishart Matrices
Andrea Montanari, Basil Saeed
We analyze the asymptotics of a block-Wishart random matrix ensemble of the type ${\boldsymbol W}_k = ({\boldsymbol X}^* \otimes {\boldsymbol I}_k){\boldsymbol T}({\boldsymbol X}\o…
Topological trivialization in non-convex empirical risk minimization
Andrea Montanari, Basil Saeed
Given data , with standard -dimensional Gaussian feature vectors, and response variables, we study t…
Local minima of the empirical risk in high dimension: General theorems and convex examples
Kiana Asgari, Andrea Montanari, Basil Saeed
We consider a general model for high-dimensional empirical risk minimization whereby the data are -dimensional Gaussian vectors, the model is parametrized by $\ma…
Universality of max-margin classifiers
Andrea Montanari, Feng Ruan, Basil Saeed +1
Maximum margin binary classification is one of the most fundamental algorithms in machine learning, yet the role of featurization maps and the high-dimensional asymptotics of the m…