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On Coresets for Logistic Regression

22 May 2018

Papers citing "On Coresets for Logistic Regression"

50 / 69 papers shown

Title
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Brian B. Moser Arundhati S. Shanbhag Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 252 0 0 23 May 2025
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 105 0 0 07 Mar 2025
A Tight VC-Dimension Analysis of Clustering Coresets with Applications Vincent Cohen-Addad Andrew Draganov Matteo Russo David Saulpic Chris Schwiegelshohn 71 2 0 11 Jan 2025
The Space Complexity of Approximating Logistic Loss Gregory Dexter P. Drineas Rajiv Khanna 100 1 0 03 Dec 2024
Data subsampling for Poisson regression with pth-root-link Han Cheng Lie Alexander Munteanu 58 0 0 30 Oct 2024
Reciprocal Learning Julian Rodemann Christoph Jansen G. Schollmeyer FedML 69 0 0 12 Aug 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning Yijun Dong Hoang Phan Xiang Pan Qi Lei 155 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
Salutary Labeling with Zero Human Annotation Wenxiao Xiao Hongfu Liu 45 0 0 27 May 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 99 2 0 26 Feb 2024
No Dimensional Sampling Coresets for Classification M. Alishahi Jeff M. Phillips 114 2 0 07 Feb 2024
ORBSLAM3-Enhanced Autonomous Toy Drones: Pioneering Indoor Exploration M. Tukan Fares Fares Yotam Grufinkle Ido Talmor Loay Mualem Vladimir Braverman Dan Feldman 76 5 0 20 Dec 2023
Simple Weak Coresets for Non-Decomposable Classification Measures Jayesh Malaviya Anirban Dasgupta Rachit Chhaya 125 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
Sketching Multidimensional Time Series for Fast Discord Mining Chin-Chia Michael Yeh Yan Zheng Menghai Pan Huiyuan Chen Zhongfang Zhuang Junpeng Wang Liang Wang Wei Zhang Jeff M. Phillips Eamonn J. Keogh AI4TS 57 7 0 05 Nov 2023
Improved Active Learning via Dependent Leverage Score Sampling Atsushi Shimizu Xiaoou Cheng Chris Musco Jonathan Weare FedML 66 6 0 08 Oct 2023
Federated Wasserstein Distance Alain Rakotomamonjy Kimia Nadjahi L. Ralaivola 100 6 0 03 Oct 2023
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning Ming Li Yong Zhang Zhitao Li Jiuhai Chen Lichang Chen Ning Cheng Jianzong Wang Dinesh Manocha Jing Xiao 129 211 0 23 Aug 2023
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks Jean-Michel Attendu Jean-Philippe Corbeil 88 16 0 05 Jun 2023
$Sharper Bounds for $\ell_p$ Sensitivity Sampling$ Sharper Bounds for $\ell_p$ Sensitivity Sampling David P. Woodruff T. Yasuda 59 0 0 01 Jun 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic R. Waleffe Vasilis Mageirakos Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias Nezihe Merve Gürel Theodoros Rekatsinas DD 104 14 0 28 May 2023
On the Size and Approximation Error of Distilled Sets Alaa Maalouf M. Tukan Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 126 4 0 23 May 2023
AutoCoreset: An Automatic Practical Coreset Construction Framework Alaa Maalouf M. Tukan Vladimir Braverman Daniela Rus CLL 58 3 0 19 May 2023
Optimal Sketching Bounds for Sparse Linear Regression Tung Mai Alexander Munteanu Cameron Musco Anup B. Rao Chris Schwiegelshohn David P. Woodruff 76 5 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 45 7 0 31 Mar 2023
Feature Space Sketching for Logistic Regression Gregory Dexter Rajiv Khanna Jawad Raheel P. Drineas 77 4 0 24 Mar 2023
Data pruning and neural scaling laws: fundamental limitations of score-based algorithms Fadhel Ayed Soufiane Hayou 109 10 0 14 Feb 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 84 42 0 13 Feb 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
Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers Hu Ding Ru Huang Kai Liu Haikuo Yu Zixiu Wang 30 1 0 07 Jan 2023
Active Learning for Single Neuron Models with Lipschitz Non-Linearities Aarshvi Gajjar Chinmay Hegde Christopher Musco 92 12 0 24 Oct 2022
Coresets for Relational Data and The Applications Jiaxiang Chen Qingyuan Yang Ru Huang Hu Ding 55 4 0 09 Oct 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions M. Tukan Loay Mualem Alaa Maalouf 3DPC 80 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
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning Chengcheng Guo B. Zhao Yanbing Bai OOD 139 143 0 18 Apr 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
New Coresets for Projective Clustering and Applications M. Tukan Xuan Wu Samson Zhou Vladimir Braverman Dan Feldman 84 20 0 08 Mar 2022
Obstacle Aware Sampling for Path Planning M. Tukan Alaa Maalouf Dan Feldman Roi Poranne 96 8 0 08 Mar 2022
Coresets for Data Discretization and Sine Wave Fitting Alaa Maalouf M. Tukan Eric Price Daniel Kane Dan Feldman 68 7 0 06 Mar 2022
Towards Optimal Lower Bounds for k-median and k-means Coresets Vincent Cohen-Addad Kasper Green Larsen David Saulpic Chris Schwiegelshohn 56 51 0 25 Feb 2022
A Novel Sequential Coreset Method for Gradient Descent Algorithms Jiawei Huang Ru Huang Wenjie Liu N. Freris Huihua Ding 95 16 0 05 Dec 2021
Introduction to Coresets: Approximated Mean Alaa Maalouf Ibrahim Jubran Dan Feldman 60 6 0 04 Nov 2021
A Unified Approach to Coreset Learning Alaa Maalouf Gilad Eini Ben Mussay Dan Feldman Margarita Osadchy DD 73 18 0 04 Nov 2021
Coresets for Decision Trees of Signals Ibrahim Jubran Ernesto Evgeniy Sanches Shayda I. Newman Dan Feldman 84 18 0 07 Oct 2021