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Coresets for Classification -- Simplified and Strengthened

8 June 2021

Papers citing "Coresets for Classification -- Simplified and Strengthened"

25 / 25 papers shown

Title
Importance Sampling for Nonlinear Models Prakash Palanivelu Rajmohan Fred Roosta 61 0 0 18 May 2025
Near-Polynomially Competitive Active Logistic Regression Yihan Zhou Eric Price Trung Nguyen 103 0 0 07 Mar 2025
Accurate Coresets for Latent Variable Models and Regularized Regression Sanskar Ranjan Supratim Shit 87 0 0 31 Dec 2024
The Space Complexity of Approximating Logistic Loss Gregory Dexter P. Drineas Rajiv Khanna 100 1 0 03 Dec 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning Yijun Dong Hoang Phan Xiang Pan Qi Lei 150 6 0 08 Jul 2024
$Turnstile $\ell_p$ leverage score sampling with applications$ Turnstile $\ell_p$ leverage score sampling with applications Alexander Munteanu Simon Omlor 70 2 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 64 5 0 01 Jun 2024
Agnostic Active Learning of Single Index Models with Linear Sample Complexity Aarshvi Gajjar Wai Ming Tai Xingyu Xu Chinmay Hegde Yi Li Chris Musco 84 9 0 15 May 2024
Scalable Learning of Item Response Theory Models Susanne Frick Amer Krivosija Alexander Munteanu AI4Ed 58 4 0 01 Mar 2024
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression Agniva Chowdhury Pradeep Ramuhalli 89 2 0 26 Feb 2024
How to Train Data-Efficient LLMs Noveen Sachdeva Benjamin Coleman Wang-Cheng Kang Jianmo Ni Lichan Hong Ed H. Chi James Caverlee Julian McAuley D. Cheng 93 64 0 15 Feb 2024
Simple Weak Coresets for Non-Decomposable Classification Measures Jayesh Malaviya Anirban Dasgupta Rachit Chhaya 123 0 0 15 Dec 2023
$Computing Approximate $\ell_p$ Sensitivities$ Computing Approximate $\ell_p$ Sensitivities Swati Padmanabhan David P. Woodruff Qiuyi Zhang 82 0 0 07 Nov 2023
Improved Active Learning via Dependent Leverage Score Sampling Atsushi Shimizu Xiaoou Cheng Chris Musco Jonathan Weare FedML 59 6 0 08 Oct 2023
Optimal Sketching Bounds for Sparse Linear Regression Tung Mai Alexander Munteanu Cameron Musco Anup B. Rao Chris Schwiegelshohn David P. Woodruff 74 5 0 05 Apr 2023
Feature Space Sketching for Logistic Regression Gregory Dexter Rajiv Khanna Jawad Raheel P. Drineas 69 4 0 24 Mar 2023
Leveraging Importance Weights in Subset Selection Gui Citovsky Giulia DeSalvo Sanjiv Kumar Srikumar Ramalingam Afshin Rostamizadeh Yunjuan Wang 78 4 0 28 Jan 2023
A Coreset Learning Reality Check Fred Lu Edward Raff James Holt 60 5 0 15 Jan 2023
Active Learning for Single Neuron Models with Lipschitz Non-Linearities Aarshvi Gajjar Chinmay Hegde Christopher Musco 85 12 0 24 Oct 2022
Efficient NTK using Dimensionality Reduction Nir Ailon Supratim Shit 86 0 0 10 Oct 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions M. Tukan Loay Mualem Alaa Maalouf 3DPC 78 23 0 18 Sep 2022
Online Lewis Weight Sampling David P. Woodruff T. Yasuda 64 21 0 17 Jul 2022
An Empirical Evaluation of $k$ -Means Coresets Chris Schwiegelshohn Omar Ali Sheikh-Omar 52 11 0 03 Jul 2022
$p$ -Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets Alexander Munteanu Simon Omlor Christian Peters 42 11 0 25 Mar 2022
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more Elad Tolochinsky Ibrahim Jubran Dan Feldman CLL 136 17 0 21 Feb 2018