Simon Omlor

activity

20192026

most citedBounding the Width of Neural Networks via Coupled Initialization -- A Worst Case Analysis

3 citations · 10 across the 11 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022★ 3 cited

Bounding the Width of Neural Networks via Coupled Initialization -- A Worst Case Analysis

Alexander Munteanu, Simon Omlor, Zhao Song +1

A common method in training neural networks is to initialize all the weights to be independent Gaussian vectors. We observe that by instead initializing the weights into independen…

cs.DS2022★ 3 cited

$p$ -Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets

Alexander Munteanu, Simon Omlor, Christian Peters

We study the $p$ -generalized probit regression model, which is a generalized linear model for binary responses. It extends the standard probit model by replacing its link function,…

Bounding the Width of Neural Networks via Coupled Initialization -- A Worst Case Analysis

p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets

$p$ -Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets