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Alexander Munteanu

Scalable Learning of Item Response Theory Models

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Mar 01, 2024
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Optimal Sketching Bounds for Sparse Linear Regression

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Apr 05, 2023
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Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression

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Mar 31, 2023
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Bounding the Width of Neural Networks via Coupled Initialization -- A Worst Case Analysis

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Jun 26, 2022
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$p$-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets

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Mar 25, 2022
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Oblivious sketching for logistic regression

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Jul 14, 2021
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Random projections and sampling algorithms for clustering of high-dimensional polygonal curves

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Jul 16, 2019
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Probabilistic smallest enclosing ball in high dimensions via subgradient sampling

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Feb 28, 2019
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On Coresets for Logistic Regression

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Sep 13, 2018
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Coresets for Dependency Networks

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Oct 16, 2017
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