activity
20062023
most citedThe More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures

29 citations · 106 across the 19 of their papers we have counts for

collaborators

22 papers

math.PR2023

Estranged facets and -facets of Gaussian random point sets

Brett Leroux, Luis Rademacher

Gaussian random polytopes have received a lot of attention especially in the case where the dimension is fixed and the number of points goes to infinity. Our focus is on the less s…

math.CO2022

Expansion of random polytopes

Brett Leroux, Luis Rademacher

A conjecture of Mihail and Vazirani states that the edge expansion of the graph of every polytope is at least one. Any lower bound on the edge expansion gives an upper bound…

math.MG2021

Improved bounds for the expected number of -sets

Brett Leroux, Luis Rademacher

Given a finite set of points , a -set of is a subset of size which can be strictly separated from by a hyperplane. S…

cs.DS2020

The smoothed complexity of Frank-Wolfe methods via conditioning of random matrices and polytopes

Luis Rademacher, Chang Shu

Frank-Wolfe methods are popular for optimization over a polytope. One of the reasons is because they do not need projection onto the polytope but only linear optimization over it.…

cs.LG2020★ 1 cited

Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models

Haolin Chen, Luis Rademacher

We propose a new algorithm for tensor decomposition, based on Jennrich's algorithm, and apply our new algorithmic ideas to blind deconvolution and Gaussian mixture models. Our firs…

math.MG2019

Algebraic -sets and generally neighborly embeddings

Brett Leroux, Luis Rademacher

Given a set of points in , a -set is a subset of points of that can be strictly separated by a hyperplane from the remaining points. Similarl…