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

25 March 2022

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

9 / 9 papers shown

Title
Data subsampling for Poisson regression with pth-root-link Han Cheng Lie Alexander Munteanu 22 0 0 30 Oct 2024
$Turnstile $\ell_p$ leverage score sampling with applications$ Turnstile $\ell_p$ leverage score sampling with applications Alexander Munteanu Simon Omlor 18 1 0 01 Jun 2024
$Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation$ Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation Alexander Munteanu Simon Omlor 18 5 0 01 Jun 2024
Scalable Learning of Item Response Theory Models Susanne Frick Amer Krivosija Alexander Munteanu AI4Ed 21 4 0 01 Mar 2024
$Sharper Bounds for $\ell_p$ Sensitivity Sampling$ Sharper Bounds for $\ell_p$ Sensitivity Sampling David P. Woodruff T. Yasuda 6 0 0 01 Jun 2023
Optimal Sketching Bounds for Sparse Linear Regression Tung Mai Alexander Munteanu Cameron Musco Anup B. Rao Chris Schwiegelshohn David P. Woodruff 11 4 0 05 Apr 2023
$Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression$ Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression Alexander Munteanu Simon Omlor David P. Woodruff 15 6 0 31 Mar 2023
Online Lewis Weight Sampling David P. Woodruff T. Yasuda 13 21 0 17 Jul 2022
Oblivious sketching for logistic regression Alexander Munteanu Simon Omlor David P. Woodruff UQCV 41 17 0 14 Jul 2021